Implementar a identificação de idioma

A identificação de idioma é usada para identificar idiomas falados em áudio quando comparados com uma lista de idiomas suportados.

Os casos de uso de identificação de idioma (LID) incluem:

• Reconhecimento de fala para texto quando você precisa identificar o idioma em uma fonte de áudio e, em seguida, transcrevê-lo para texto.
• Tradução de fala quando você precisa identificar o idioma em uma fonte de áudio e, em seguida, traduzi-lo para outro idioma.

Para o reconhecimento de fala, a latência inicial é maior com a identificação da linguagem. Você só deve incluir esse recurso opcional conforme necessário.

Definir opções de configuração

Quer utilize a identificação linguística com a conversão de voz em texto ou com a tradução de voz, existem alguns conceitos comuns e opções de configuração.

• Defina uma lista de idiomas candidatos que você espera no áudio.
• Decida se deseja usar a identificação de idioma inicial ou contínua .

Em seguida, você faz uma solicitação de reconhecimento uma vez ou contínua para o serviço de fala.

Importante

As APIs de identificação de idioma são simplificadas com o Speech SDK versão 1.25 e posterior. As SpeechServiceConnection_SingleLanguageIdPriority propriedades e SpeechServiceConnection_ContinuousLanguageIdPriority foram removidas. Uma única propriedade SpeechServiceConnection_LanguageIdMode os substitui. Você não precisa mais priorizar entre baixa latência e alta precisão. Para reconhecimento ou tradução de fala contínuos, você só precisa selecionar se deseja executar a Identificação de idioma inicial ou contínua.

Este artigo fornece trechos de código para descrever os conceitos. Links para amostras completas para cada caso de uso são fornecidos.

Línguas candidatas

Você fornece o objeto aos AutoDetectSourceLanguageConfig idiomas candidatos. Espera-se que pelo menos um dos candidatos esteja no áudio. Você pode incluir até quatro idiomas para LID inicial ou até 10 idiomas para LID contínuo. O serviço de Fala retorna um dos idiomas candidatos fornecidos, mesmo que esses idiomas não estejam no áudio. Por exemplo, se fr-FR (francês) e en-US (inglês) são fornecidos como candidatos, mas o alemão é falado, o serviço retorna ou fr-FRen-US.

Você deve fornecer a localidade completa com separador de traço (-), mas a identificação do idioma usa apenas uma localidade por idioma base. Não inclua várias localidades para o mesmo idioma, por exemplo, en-US e en-GB.

var autoDetectSourceLanguageConfig =
    AutoDetectSourceLanguageConfig.FromLanguages(new string[] { "en-US", "de-DE", "zh-CN" });

auto autoDetectSourceLanguageConfig = 
    AutoDetectSourceLanguageConfig::FromLanguages({ "en-US", "de-DE", "zh-CN" });

auto_detect_source_language_config = \
    speechsdk.languageconfig.AutoDetectSourceLanguageConfig(languages=["en-US", "de-DE", "zh-CN"])

AutoDetectSourceLanguageConfig autoDetectSourceLanguageConfig =
    AutoDetectSourceLanguageConfig.fromLanguages(Arrays.asList("en-US", "de-DE", "zh-CN"));

var autoDetectSourceLanguageConfig = SpeechSDK.AutoDetectSourceLanguageConfig.fromLanguages([("en-US", "de-DE", "zh-CN"]);

NSArray *languages = @[@"en-US", @"de-DE", @"zh-CN"];
SPXAutoDetectSourceLanguageConfiguration* autoDetectSourceLanguageConfig = \
    [[SPXAutoDetectSourceLanguageConfiguration alloc]init:languages];

Para obter mais informações, consulte os idiomas suportados.

Identificação linguística inicial e contínua

A fala suporta a identificação contínua e contínua da linguagem (LID).

Nota

A identificação contínua de linguagem só é suportada com SDKs de fala em C#, C++, Java (somente para fala para texto), JavaScript (somente para fala para texto) e Python.

• No início, o LID identifica o idioma uma vez nos primeiros segundos de áudio. Use o LID inicial se o idioma do áudio não mudar. Com o LID inicial, um único idioma é detetado e retornado em menos de 5 segundos.
• O LID contínuo pode identificar vários idiomas durante o áudio. Use LID contínuo se o idioma no áudio puder mudar. O LID contínuo não suporta a mudança de idiomas dentro da mesma frase. Por exemplo, se você estiver falando espanhol principalmente e inserir algumas palavras em inglês, isso não detetará a mudança de idioma por palavra.

Você implementa o LID inicial ou o LID contínuo chamando métodos para reconhecer uma vez ou continuamente. O LID contínuo só é suportado com reconhecimento contínuo.

Reconhecer uma vez ou continuamente

A identificação do idioma é completada com objetos e operações de reconhecimento. Faça uma solicitação ao serviço de fala para reconhecimento de áudio.

Nota

Não confunda reconhecimento com identificação. O reconhecimento pode ser utilizado com ou sem identificação linguística.

Chame o método "reconhecer uma vez" ou os métodos de reconhecimento contínuo iniciar e parar. Você escolhe entre:

• Reconheça uma vez com a tampa inicial. O LID contínuo não é suportado para reconhecer uma vez.
• Use o reconhecimento contínuo com a tampa inicial.
• Use o reconhecimento contínuo com LID contínuo.

A SpeechServiceConnection_LanguageIdMode propriedade só é necessária para LID contínuo. Sem ele, o serviço de Fala assume como padrão a LID inicial. Os valores suportados são AtStart para LID inicial ou Continuous para LID contínuo.

// Recognize once with At-start LID. Continuous LID isn't supported for recognize once.
var result = await recognizer.RecognizeOnceAsync();

// Start and stop continuous recognition with At-start LID
await recognizer.StartContinuousRecognitionAsync();
await recognizer.StopContinuousRecognitionAsync();

// Start and stop continuous recognition with Continuous LID
speechConfig.SetProperty(PropertyId.SpeechServiceConnection_LanguageIdMode, "Continuous");
await recognizer.StartContinuousRecognitionAsync();
await recognizer.StopContinuousRecognitionAsync();

// Recognize once with At-start LID. Continuous LID isn't supported for recognize once.
auto result = recognizer->RecognizeOnceAsync().get();

// Start and stop continuous recognition with At-start LID
recognizer->StartContinuousRecognitionAsync().get();
recognizer->StopContinuousRecognitionAsync().get();

// Start and stop continuous recognition with Continuous LID
speechConfig->SetProperty(PropertyId::SpeechServiceConnection_LanguageIdMode, "Continuous");
recognizer->StartContinuousRecognitionAsync().get();
recognizer->StopContinuousRecognitionAsync().get();

// Recognize once with At-start LID. Continuous LID isn't supported for recognize once.
SpeechRecognitionResult  result = recognizer->RecognizeOnceAsync().get();

// Start and stop continuous recognition with At-start LID
recognizer.startContinuousRecognitionAsync().get();
recognizer.stopContinuousRecognitionAsync().get();

// Start and stop continuous recognition with Continuous LID
speechConfig.setProperty(PropertyId.SpeechServiceConnection_LanguageIdMode, "Continuous");
recognizer.startContinuousRecognitionAsync().get();
recognizer.stopContinuousRecognitionAsync().get();

# Recognize once with At-start LID. Continuous LID isn't supported for recognize once.
result = recognizer.recognize_once()

# Start and stop continuous recognition with At-start LID
recognizer.start_continuous_recognition()
recognizer.stop_continuous_recognition()

# Start and stop continuous recognition with Continuous LID
speech_config.set_property(property_id=speechsdk.PropertyId.SpeechServiceConnection_LanguageIdMode, value='Continuous')
recognizer.start_continuous_recognition()
recognizer.stop_continuous_recognition()

Usar fala para texto

Você usa Fala para reconhecimento de texto quando precisa identificar o idioma em uma fonte de áudio e, em seguida, transcrevê-lo para texto. Para obter mais informações, consulte Visão geral de fala em texto.

Nota

O reconhecimento de fala para texto com identificação de linguagem no início é suportado com SDKs de fala em C#, C++, Python, Java, JavaScript e Objective-C. O reconhecimento de fala para texto com identificação contínua de linguagem só é suportado com SDKs de fala em C#, C++, Java, JavaScript e Python.

Atualmente, para reconhecimento de fala para texto com identificação contínua de idioma, você deve criar um SpeechConfig a wss://{region}.stt.speech.microsoft.com/speech/universal/v2 partir da cadeia de caracteres do ponto de extremidade, conforme mostrado em exemplos de código. Em uma versão futura do SDK, você não precisará defini-lo.

Veja mais exemplos de reconhecimento de fala para texto com identificação de idioma no GitHub.

Reconhecer uma vez

using Microsoft.CognitiveServices.Speech;
using Microsoft.CognitiveServices.Speech.Audio;

var speechConfig = SpeechConfig.FromSubscription("YourSubscriptionKey","YourServiceRegion");

var autoDetectSourceLanguageConfig =
    AutoDetectSourceLanguageConfig.FromLanguages(
        new string[] { "en-US", "de-DE", "zh-CN" });

using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
using (var recognizer = new SpeechRecognizer(
    speechConfig,
    autoDetectSourceLanguageConfig,
    audioConfig))
{
    var speechRecognitionResult = await recognizer.RecognizeOnceAsync();
    var autoDetectSourceLanguageResult =
        AutoDetectSourceLanguageResult.FromResult(speechRecognitionResult);
    var detectedLanguage = autoDetectSourceLanguageResult.Language;
}

Reconhecimento contínuo

using Microsoft.CognitiveServices.Speech;
using Microsoft.CognitiveServices.Speech.Audio;

var region = "YourServiceRegion";
// Currently the v2 endpoint is required. In a future SDK release you won't need to set it.
var endpointString = $"wss://{region}.stt.speech.microsoft.com/speech/universal/v2";
var endpointUrl = new Uri(endpointString);

var config = SpeechConfig.FromEndpoint(endpointUrl, "YourSubscriptionKey");

// Set the LanguageIdMode (Optional; Either Continuous or AtStart are accepted; Default AtStart)
config.SetProperty(PropertyId.SpeechServiceConnection_LanguageIdMode, "Continuous");

var autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig.FromLanguages(new string[] { "en-US", "de-DE", "zh-CN" });

var stopRecognition = new TaskCompletionSource<int>();
using (var audioInput = AudioConfig.FromWavFileInput(@"en-us_zh-cn.wav"))
{
    using (var recognizer = new SpeechRecognizer(config, autoDetectSourceLanguageConfig, audioInput))
    {
        // Subscribes to events.
        recognizer.Recognizing += (s, e) =>
        {
            if (e.Result.Reason == ResultReason.RecognizingSpeech)
            {
                Console.WriteLine($"RECOGNIZING: Text={e.Result.Text}");
                var autoDetectSourceLanguageResult = AutoDetectSourceLanguageResult.FromResult(e.Result);
                Console.WriteLine($"DETECTED: Language={autoDetectSourceLanguageResult.Language}");
            }
        };

        recognizer.Recognized += (s, e) =>
        {
            if (e.Result.Reason == ResultReason.RecognizedSpeech)
            {
                Console.WriteLine($"RECOGNIZED: Text={e.Result.Text}");
                var autoDetectSourceLanguageResult = AutoDetectSourceLanguageResult.FromResult(e.Result);
                Console.WriteLine($"DETECTED: Language={autoDetectSourceLanguageResult.Language}");
            }
            else if (e.Result.Reason == ResultReason.NoMatch)
            {
                Console.WriteLine($"NOMATCH: Speech could not be recognized.");
            }
        };

        recognizer.Canceled += (s, e) =>
        {
            Console.WriteLine($"CANCELED: Reason={e.Reason}");

            if (e.Reason == CancellationReason.Error)
            {
                Console.WriteLine($"CANCELED: ErrorCode={e.ErrorCode}");
                Console.WriteLine($"CANCELED: ErrorDetails={e.ErrorDetails}");
                Console.WriteLine($"CANCELED: Did you set the speech resource key and region values?");
            }

            stopRecognition.TrySetResult(0);
        };

        recognizer.SessionStarted += (s, e) =>
        {
            Console.WriteLine("\n    Session started event.");
        };

        recognizer.SessionStopped += (s, e) =>
        {
            Console.WriteLine("\n    Session stopped event.");
            Console.WriteLine("\nStop recognition.");
            stopRecognition.TrySetResult(0);
        };

        // Starts continuous recognition. Uses StopContinuousRecognitionAsync() to stop recognition.
        await recognizer.StartContinuousRecognitionAsync().ConfigureAwait(false);

        // Waits for completion.
        // Use Task.WaitAny to keep the task rooted.
        Task.WaitAny(new[] { stopRecognition.Task });

        // Stops recognition.
        await recognizer.StopContinuousRecognitionAsync().ConfigureAwait(false);
    }
}

Veja mais exemplos de reconhecimento de fala para texto com identificação de idioma no GitHub.

Reconhecer uma vez

using namespace std;
using namespace Microsoft::CognitiveServices::Speech;
using namespace Microsoft::CognitiveServices::Speech::Audio;

auto speechConfig = SpeechConfig::FromSubscription("YourSubscriptionKey","YourServiceRegion");

auto autoDetectSourceLanguageConfig =
    AutoDetectSourceLanguageConfig::FromLanguages({ "en-US", "de-DE", "zh-CN" });

auto recognizer = SpeechRecognizer::FromConfig(
    speechConfig,
    autoDetectSourceLanguageConfig
    );

speechRecognitionResult = recognizer->RecognizeOnceAsync().get();
auto autoDetectSourceLanguageResult =
    AutoDetectSourceLanguageResult::FromResult(speechRecognitionResult);
auto detectedLanguage = autoDetectSourceLanguageResult->Language;

Reconhecimento contínuo

// Creates an instance of a speech config with specified subscription key and service region.
// Note: For multi-lingual speech recognition with language id, it only works with speech v2 endpoint,
// you must use FromEndpoint api in order to use the speech v2 endpoint.

// Replace YourServiceRegion with your region, for example "westus", and
// replace YourSubscriptionKey with your own speech key.
string speechv2Endpoint = "wss://YourServiceRegion.stt.speech.microsoft.com/speech/universal/v2";
auto speechConfig = SpeechConfig::FromEndpoint(speechv2Endpoint, "YourSubscriptionKey");

// Set the mode of input language detection to either "AtStart" (the default) or "Continuous".
// Please refer to the documentation of Language ID for more information.
// https://aka.ms/speech/lid?pivots=programming-language-cpp
speechConfig->SetProperty(PropertyId::SpeechServiceConnection_LanguageIdMode, "Continuous");

// Define the set of languages to detect
auto autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig::FromLanguages({ "en-US", "zh-CN" });

// Creates a speech recognizer using file as audio input.
// Replace with your own audio file name.
auto audioInput = AudioConfig::FromWavFileInput("en-us_zh-cn.wav");
auto recognizer = SpeechRecognizer::FromConfig(speechConfig, autoDetectSourceLanguageConfig, audioInput);

// promise for synchronization of recognition end.
promise<void> recognitionEnd;

// Subscribes to events.
recognizer->Recognizing.Connect([](const SpeechRecognitionEventArgs& e)
    {
        auto lidResult = AutoDetectSourceLanguageResult::FromResult(e.Result);
        cout << "Recognizing in " << lidResult->Language << ": Text =" << e.Result->Text << std::endl;
    });

recognizer->Recognized.Connect([](const SpeechRecognitionEventArgs& e)
    {
        if (e.Result->Reason == ResultReason::RecognizedSpeech)
        {
            auto lidResult = AutoDetectSourceLanguageResult::FromResult(e.Result);
            cout << "RECOGNIZED in " << lidResult->Language << ": Text=" << e.Result->Text << "\n"
                << "  Offset=" << e.Result->Offset() << "\n"
                << "  Duration=" << e.Result->Duration() << std::endl;
        }
        else if (e.Result->Reason == ResultReason::NoMatch)
        {
            cout << "NOMATCH: Speech could not be recognized." << std::endl;
        }
    });

recognizer->Canceled.Connect([&recognitionEnd](const SpeechRecognitionCanceledEventArgs& e)
    {
        cout << "CANCELED: Reason=" << (int)e.Reason << std::endl;

        if (e.Reason == CancellationReason::Error)
        {
            cout << "CANCELED: ErrorCode=" << (int)e.ErrorCode << "\n"
                << "CANCELED: ErrorDetails=" << e.ErrorDetails << "\n"
                << "CANCELED: Did you update the subscription info?" << std::endl;

            recognitionEnd.set_value(); // Notify to stop recognition.
        }
    });

recognizer->SessionStopped.Connect([&recognitionEnd](const SessionEventArgs& e)
    {
        cout << "Session stopped.";
        recognitionEnd.set_value(); // Notify to stop recognition.
    });

// Starts continuous recognition. Uses StopContinuousRecognitionAsync() to stop recognition.
recognizer->StartContinuousRecognitionAsync().get();

// Waits for recognition end.
recognitionEnd.get_future().get();

// Stops recognition.
recognizer->StopContinuousRecognitionAsync().get();

Veja mais exemplos de reconhecimento de fala para texto com identificação de idioma no GitHub.

Reconhecer uma vez

AutoDetectSourceLanguageConfig autoDetectSourceLanguageConfig =
    AutoDetectSourceLanguageConfig.fromLanguages(Arrays.asList("en-US", "de-DE"));

SpeechRecognizer recognizer = new SpeechRecognizer(
    speechConfig,
    autoDetectSourceLanguageConfig,
    audioConfig);

Future<SpeechRecognitionResult> future = recognizer.recognizeOnceAsync();
SpeechRecognitionResult result = future.get(30, TimeUnit.SECONDS);
AutoDetectSourceLanguageResult autoDetectSourceLanguageResult =
    AutoDetectSourceLanguageResult.fromResult(result);
String detectedLanguage = autoDetectSourceLanguageResult.getLanguage();

recognizer.close();
speechConfig.close();
autoDetectSourceLanguageConfig.close();
audioConfig.close();
result.close();

Reconhecimento contínuo

// Shows how to do continuous speech recognition on a multilingual audio file with continuous language detection. Here, we assume the
// spoken language in the file can alternate between English (US), Spanish (Mexico) and German.
// If specified, speech recognition will use the custom model associated with the detected language.
public static void continuousRecognitionFromFileWithContinuousLanguageDetectionWithCustomModels() throws InterruptedException, ExecutionException, IOException
{
    // Continuous language detection with speech recognition requires the application to set a V2 endpoint URL.
    // Replace the service (Azure) region with your own service region (e.g. "westus").
    String v2EndpointUrl = "wss://" + "YourServiceRegion" + ".stt.speech.microsoft.com/speech/universal/v2";

    // Creates an instance of a speech config with specified endpoint URL and subscription key. Replace with your own subscription key.
    SpeechConfig speechConfig = SpeechConfig.fromEndpoint(URI.create(v2EndpointUrl), "YourSubscriptionKey");

    // Change the default from at-start language detection to continuous language detection, since the spoken language in the audio
    // may change.
    speechConfig.setProperty(PropertyId.SpeechServiceConnection_LanguageIdMode, "Continuous");

    // Define a set of expected spoken languages in the audio, with an optional custom model endpoint ID associated with each.
    // Update the below with your own languages. Please see https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support
    // for all supported languages.
    // Update the below with your own custom model endpoint IDs, or omit it if you want to use the standard model.
    List<SourceLanguageConfig> sourceLanguageConfigs = new ArrayList<SourceLanguageConfig>();
    sourceLanguageConfigs.add(SourceLanguageConfig.fromLanguage("en-US", "YourEnUsCustomModelID"));
    sourceLanguageConfigs.add(SourceLanguageConfig.fromLanguage("es-MX", "YourEsMxCustomModelID"));
    sourceLanguageConfigs.add(SourceLanguageConfig.fromLanguage("de-DE"));

    // Creates an instance of AutoDetectSourceLanguageConfig with the above 3 source language configurations.
    AutoDetectSourceLanguageConfig autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig.fromSourceLanguageConfigs(sourceLanguageConfigs);

    // We provide a WAV file with English and Spanish utterances as an example. Replace with your own multilingual audio file name.
    AudioConfig audioConfig = AudioConfig.fromWavFileInput( "es-mx_en-us.wav");

    // Creates a speech recognizer using file as audio input and the AutoDetectSourceLanguageConfig
    SpeechRecognizer speechRecognizer = new SpeechRecognizer(speechConfig, autoDetectSourceLanguageConfig, audioConfig);

    // Semaphore used to signal the call to stop continuous recognition (following either a session ended or a cancelled event)
    final Semaphore doneSemaphone = new Semaphore(0);

    // Subscribes to events.

    /* Uncomment this to see intermediate recognition results. Since this is verbose and the WAV file is long, it is commented out by default in this sample.
    speechRecognizer.recognizing.addEventListener((s, e) -> {
        AutoDetectSourceLanguageResult autoDetectSourceLanguageResult = AutoDetectSourceLanguageResult.fromResult(e.getResult());
        String language = autoDetectSourceLanguageResult.getLanguage();
        System.out.println(" RECOGNIZING: Text = " + e.getResult().getText());
        System.out.println(" RECOGNIZING: Language = " + language);
    });
    */

    speechRecognizer.recognized.addEventListener((s, e) -> {
        AutoDetectSourceLanguageResult autoDetectSourceLanguageResult = AutoDetectSourceLanguageResult.fromResult(e.getResult());
        String language = autoDetectSourceLanguageResult.getLanguage();
        if (e.getResult().getReason() == ResultReason.RecognizedSpeech) {
            System.out.println(" RECOGNIZED: Text = " + e.getResult().getText());
            System.out.println(" RECOGNIZED: Language = " + language);
        }
        else if (e.getResult().getReason() == ResultReason.NoMatch) {
            if (language == null || language.isEmpty() || language.toLowerCase().equals("unknown")) {
                System.out.println(" NOMATCH: Speech Language could not be detected.");
            }
            else {
                System.out.println(" NOMATCH: Speech could not be recognized.");
            }
        }
    });

    speechRecognizer.canceled.addEventListener((s, e) -> {
        System.out.println(" CANCELED: Reason = " + e.getReason());
        if (e.getReason() == CancellationReason.Error) {
            System.out.println(" CANCELED: ErrorCode = " + e.getErrorCode());
            System.out.println(" CANCELED: ErrorDetails = " + e.getErrorDetails());
            System.out.println(" CANCELED: Did you update the subscription info?");
        }
        doneSemaphone.release();
    });

    speechRecognizer.sessionStarted.addEventListener((s, e) -> {
        System.out.println("\n Session started event.");
    });

    speechRecognizer.sessionStopped.addEventListener((s, e) -> {
        System.out.println("\n Session stopped event.");
        doneSemaphone.release();
    });

    // Starts continuous recognition and wait for processing to end
    System.out.println(" Recognizing from WAV file... please wait");
    speechRecognizer.startContinuousRecognitionAsync().get();
    doneSemaphone.tryAcquire(30, TimeUnit.SECONDS);

    // Stop continuous recognition
    speechRecognizer.stopContinuousRecognitionAsync().get();

    // These objects must be closed in order to dispose underlying native resources
    speechRecognizer.close();
    speechConfig.close();
    audioConfig.close();
    for (SourceLanguageConfig sourceLanguageConfig : sourceLanguageConfigs)
    {
        sourceLanguageConfig.close();
    }
    autoDetectSourceLanguageConfig.close();
}

Veja mais exemplos de reconhecimento de fala para texto com identificação de idioma no GitHub.

Reconhecer uma vez

auto_detect_source_language_config = \
        speechsdk.languageconfig.AutoDetectSourceLanguageConfig(languages=["en-US", "de-DE"])
speech_recognizer = speechsdk.SpeechRecognizer(
        speech_config=speech_config, 
        auto_detect_source_language_config=auto_detect_source_language_config, 
        audio_config=audio_config)
result = speech_recognizer.recognize_once()
auto_detect_source_language_result = speechsdk.AutoDetectSourceLanguageResult(result)
detected_language = auto_detect_source_language_result.language

Reconhecimento contínuo

import azure.cognitiveservices.speech as speechsdk
import time
import json

speech_key, service_region = "YourSubscriptionKey","YourServiceRegion"
weatherfilename="en-us_zh-cn.wav"

# Currently the v2 endpoint is required. In a future SDK release you won't need to set it. 
endpoint_string = "wss://{}.stt.speech.microsoft.com/speech/universal/v2".format(service_region)
speech_config = speechsdk.SpeechConfig(subscription=speech_key, endpoint=endpoint_string)
audio_config = speechsdk.audio.AudioConfig(filename=weatherfilename)

# Set the LanguageIdMode (Optional; Either Continuous or AtStart are accepted; Default AtStart)
speech_config.set_property(property_id=speechsdk.PropertyId.SpeechServiceConnection_LanguageIdMode, value='Continuous')

auto_detect_source_language_config = speechsdk.languageconfig.AutoDetectSourceLanguageConfig(
    languages=["en-US", "de-DE", "zh-CN"])

speech_recognizer = speechsdk.SpeechRecognizer(
    speech_config=speech_config, 
    auto_detect_source_language_config=auto_detect_source_language_config,
    audio_config=audio_config)

done = False

def stop_cb(evt):
    """callback that signals to stop continuous recognition upon receiving an event `evt`"""
    print('CLOSING on {}'.format(evt))
    nonlocal done
    done = True

# Connect callbacks to the events fired by the speech recognizer
speech_recognizer.recognizing.connect(lambda evt: print('RECOGNIZING: {}'.format(evt)))
speech_recognizer.recognized.connect(lambda evt: print('RECOGNIZED: {}'.format(evt)))
speech_recognizer.session_started.connect(lambda evt: print('SESSION STARTED: {}'.format(evt)))
speech_recognizer.session_stopped.connect(lambda evt: print('SESSION STOPPED {}'.format(evt)))
speech_recognizer.canceled.connect(lambda evt: print('CANCELED {}'.format(evt)))
# stop continuous recognition on either session stopped or canceled events
speech_recognizer.session_stopped.connect(stop_cb)
speech_recognizer.canceled.connect(stop_cb)

# Start continuous speech recognition
speech_recognizer.start_continuous_recognition()
while not done:
    time.sleep(.5)

speech_recognizer.stop_continuous_recognition()

NSArray *languages = @[@"en-US", @"de-DE", @"zh-CN"];
SPXAutoDetectSourceLanguageConfiguration* autoDetectSourceLanguageConfig = \
        [[SPXAutoDetectSourceLanguageConfiguration alloc]init:languages];
SPXSpeechRecognizer* speechRecognizer = \
        [[SPXSpeechRecognizer alloc] initWithSpeechConfiguration:speechConfig
                           autoDetectSourceLanguageConfiguration:autoDetectSourceLanguageConfig
                                              audioConfiguration:audioConfig];
SPXSpeechRecognitionResult *result = [speechRecognizer recognizeOnce];
SPXAutoDetectSourceLanguageResult *languageDetectionResult = [[SPXAutoDetectSourceLanguageResult alloc] init:result];
NSString *detectedLanguage = [languageDetectionResult language];

var autoDetectSourceLanguageConfig = SpeechSDK.AutoDetectSourceLanguageConfig.fromLanguages(["en-US", "de-DE"]);
var speechRecognizer = SpeechSDK.SpeechRecognizer.FromConfig(speechConfig, autoDetectSourceLanguageConfig, audioConfig);
speechRecognizer.recognizeOnceAsync((result: SpeechSDK.SpeechRecognitionResult) => {
        var languageDetectionResult = SpeechSDK.AutoDetectSourceLanguageResult.fromResult(result);
        var detectedLanguage = languageDetectionResult.language;
},
{});

Modelos personalizados de fala para texto

Nota

A deteção de idioma com modelos personalizados só pode ser usada com conversão de fala para texto e fala em tempo real. A transcrição em lote suporta apenas a deteção de idioma para modelos base padrão.

Este exemplo mostra como usar a deteção de idioma com um ponto de extremidade personalizado. Se o idioma detetado for en-US, o exemplo usará o modelo padrão. Se o idioma detetado for fr-FR, o exemplo usará o ponto de extremidade do modelo personalizado. Para obter mais informações, consulte Implantar um modelo de fala personalizado.

var sourceLanguageConfigs = new SourceLanguageConfig[]
{
    SourceLanguageConfig.FromLanguage("en-US"),
    SourceLanguageConfig.FromLanguage("fr-FR", "The Endpoint Id for custom model of fr-FR")
};
var autoDetectSourceLanguageConfig =
    AutoDetectSourceLanguageConfig.FromSourceLanguageConfigs(
        sourceLanguageConfigs);

Este exemplo mostra como usar a deteção de idioma com um ponto de extremidade personalizado. Se o idioma detetado for en-US, o exemplo usará o modelo padrão. Se o idioma detetado for fr-FR, o exemplo usará o ponto de extremidade do modelo personalizado. Para obter mais informações, consulte Implantar um modelo de fala personalizado.

std::vector<std::shared_ptr<SourceLanguageConfig>> sourceLanguageConfigs;
sourceLanguageConfigs.push_back(
    SourceLanguageConfig::FromLanguage("en-US"));
sourceLanguageConfigs.push_back(
    SourceLanguageConfig::FromLanguage("fr-FR", "The Endpoint Id for custom model of fr-FR"));

auto autoDetectSourceLanguageConfig =
    AutoDetectSourceLanguageConfig::FromSourceLanguageConfigs(
        sourceLanguageConfigs);

Este exemplo mostra como usar a deteção de idioma com um ponto de extremidade personalizado. Se o idioma detetado for en-US, o exemplo usará o modelo padrão. Se o idioma detetado for fr-FR, o exemplo usará o ponto de extremidade do modelo personalizado. Para obter mais informações, consulte Implantar um modelo de fala personalizado.

List sourceLanguageConfigs = new ArrayList<SourceLanguageConfig>();
sourceLanguageConfigs.add(
    SourceLanguageConfig.fromLanguage("en-US"));
sourceLanguageConfigs.add(
    SourceLanguageConfig.fromLanguage("fr-FR", "The Endpoint Id for custom model of fr-FR"));

AutoDetectSourceLanguageConfig autoDetectSourceLanguageConfig =
    AutoDetectSourceLanguageConfig.fromSourceLanguageConfigs(
        sourceLanguageConfigs);

Este exemplo mostra como usar a deteção de idioma com um ponto de extremidade personalizado. Se o idioma detetado for en-US, o exemplo usará o modelo padrão. Se o idioma detetado for fr-FR, o exemplo usará o ponto de extremidade do modelo personalizado. Para obter mais informações, consulte Implantar um modelo de fala personalizado.

 en_language_config = speechsdk.languageconfig.SourceLanguageConfig("en-US")
 fr_language_config = speechsdk.languageconfig.SourceLanguageConfig("fr-FR", "The Endpoint Id for custom model of fr-FR")
 auto_detect_source_language_config = speechsdk.languageconfig.AutoDetectSourceLanguageConfig(
        sourceLanguageConfigs=[en_language_config, fr_language_config])

Este exemplo mostra como usar a deteção de idioma com um ponto de extremidade personalizado. Se o idioma detetado for en-US, o exemplo usará o modelo padrão. Se o idioma detetado for fr-FR, o exemplo usará o ponto de extremidade do modelo personalizado. Para obter mais informações, consulte Implantar um modelo de fala personalizado.

SPXSourceLanguageConfiguration* enLanguageConfig = [[SPXSourceLanguageConfiguration alloc]init:@"en-US"];
SPXSourceLanguageConfiguration* frLanguageConfig = \
        [[SPXSourceLanguageConfiguration alloc]initWithLanguage:@"fr-FR"
                                                     endpointId:@"The Endpoint Id for custom model of fr-FR"];
NSArray *languageConfigs = @[enLanguageConfig, frLanguageConfig];
SPXAutoDetectSourceLanguageConfiguration* autoDetectSourceLanguageConfig = \
        [[SPXAutoDetectSourceLanguageConfiguration alloc]initWithSourceLanguageConfigurations:languageConfigs];

var enLanguageConfig = SpeechSDK.SourceLanguageConfig.fromLanguage("en-US");
var frLanguageConfig = SpeechSDK.SourceLanguageConfig.fromLanguage("fr-FR", "The Endpoint Id for custom model of fr-FR");
var autoDetectSourceLanguageConfig = SpeechSDK.AutoDetectSourceLanguageConfig.fromSourceLanguageConfigs([enLanguageConfig, frLanguageConfig]);

Executar tradução de fala

Use a tradução de fala quando precisar identificar o idioma em uma fonte de áudio e, em seguida, traduzi-lo para outro idioma. Para obter mais informações, consulte Visão geral da tradução de fala.

Nota

A tradução de fala com identificação de idioma só é suportada com SDKs de fala em C#, C++, JavaScript e Python. Atualmente, para tradução de fala com identificação de idioma, você deve criar um SpeechConfig a wss://{region}.stt.speech.microsoft.com/speech/universal/v2 partir da cadeia de caracteres do ponto de extremidade, conforme mostrado em exemplos de código. Em uma versão futura do SDK, você não precisará defini-lo.

Veja mais exemplos de tradução de fala com identificação de idioma no GitHub.

Reconhecer uma vez

using Microsoft.CognitiveServices.Speech;
using Microsoft.CognitiveServices.Speech.Audio;
using Microsoft.CognitiveServices.Speech.Translation;

public static async Task RecognizeOnceSpeechTranslationAsync()
{
    var region = "YourServiceRegion";
    // Currently the v2 endpoint is required. In a future SDK release you won't need to set it.
    var endpointString = $"wss://{region}.stt.speech.microsoft.com/speech/universal/v2";
    var endpointUrl = new Uri(endpointString);

    var config = SpeechTranslationConfig.FromEndpoint(endpointUrl, "YourSubscriptionKey");

    // Source language is required, but currently ignored. 
    string fromLanguage = "en-US";
    speechTranslationConfig.SpeechRecognitionLanguage = fromLanguage;

    speechTranslationConfig.AddTargetLanguage("de");
    speechTranslationConfig.AddTargetLanguage("fr");

    var autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig.FromLanguages(new string[] { "en-US", "de-DE", "zh-CN" });

    using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();

    using (var recognizer = new TranslationRecognizer(
        speechTranslationConfig, 
        autoDetectSourceLanguageConfig,
        audioConfig))
    {

        Console.WriteLine("Say something or read from file...");
        var result = await recognizer.RecognizeOnceAsync().ConfigureAwait(false);

        if (result.Reason == ResultReason.TranslatedSpeech)
        {
            var lidResult = result.Properties.GetProperty(PropertyId.SpeechServiceConnection_AutoDetectSourceLanguageResult);

            Console.WriteLine($"RECOGNIZED in '{lidResult}': Text={result.Text}");
            foreach (var element in result.Translations)
            {
                Console.WriteLine($"    TRANSLATED into '{element.Key}': {element.Value}");
            }
        }
    }
}

Reconhecimento contínuo

using Microsoft.CognitiveServices.Speech;
using Microsoft.CognitiveServices.Speech.Audio;
using Microsoft.CognitiveServices.Speech.Translation;

public static async Task MultiLingualTranslation()
{
    var region = "YourServiceRegion";
    // Currently the v2 endpoint is required. In a future SDK release you won't need to set it.
    var endpointString = $"wss://{region}.stt.speech.microsoft.com/speech/universal/v2";
    var endpointUrl = new Uri(endpointString);

    var config = SpeechTranslationConfig.FromEndpoint(endpointUrl, "YourSubscriptionKey");

    // Source language is required, but currently ignored. 
    string fromLanguage = "en-US";
    config.SpeechRecognitionLanguage = fromLanguage;

    config.AddTargetLanguage("de");
    config.AddTargetLanguage("fr");

    // Set the LanguageIdMode (Optional; Either Continuous or AtStart are accepted; Default AtStart)
    config.SetProperty(PropertyId.SpeechServiceConnection_LanguageIdMode, "Continuous");
    var autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig.FromLanguages(new string[] { "en-US", "de-DE", "zh-CN" });

    var stopTranslation = new TaskCompletionSource<int>();
    using (var audioInput = AudioConfig.FromWavFileInput(@"en-us_zh-cn.wav"))
    {
        using (var recognizer = new TranslationRecognizer(config, autoDetectSourceLanguageConfig, audioInput))
        {
            recognizer.Recognizing += (s, e) =>
            {
                var lidResult = e.Result.Properties.GetProperty(PropertyId.SpeechServiceConnection_AutoDetectSourceLanguageResult);

                Console.WriteLine($"RECOGNIZING in '{lidResult}': Text={e.Result.Text}");
                foreach (var element in e.Result.Translations)
                {
                    Console.WriteLine($"    TRANSLATING into '{element.Key}': {element.Value}");
                }
            };

            recognizer.Recognized += (s, e) => {
                if (e.Result.Reason == ResultReason.TranslatedSpeech)
                {
                    var lidResult = e.Result.Properties.GetProperty(PropertyId.SpeechServiceConnection_AutoDetectSourceLanguageResult);

                    Console.WriteLine($"RECOGNIZED in '{lidResult}': Text={e.Result.Text}");
                    foreach (var element in e.Result.Translations)
                    {
                        Console.WriteLine($"    TRANSLATED into '{element.Key}': {element.Value}");
                    }
                }
                else if (e.Result.Reason == ResultReason.RecognizedSpeech)
                {
                    Console.WriteLine($"RECOGNIZED: Text={e.Result.Text}");
                    Console.WriteLine($"    Speech not translated.");
                }
                else if (e.Result.Reason == ResultReason.NoMatch)
                {
                    Console.WriteLine($"NOMATCH: Speech could not be recognized.");
                }
            };

            recognizer.Canceled += (s, e) =>
            {
                Console.WriteLine($"CANCELED: Reason={e.Reason}");

                if (e.Reason == CancellationReason.Error)
                {
                    Console.WriteLine($"CANCELED: ErrorCode={e.ErrorCode}");
                    Console.WriteLine($"CANCELED: ErrorDetails={e.ErrorDetails}");
                    Console.WriteLine($"CANCELED: Did you set the speech resource key and region values?");
                }

                stopTranslation.TrySetResult(0);
            };

            recognizer.SpeechStartDetected += (s, e) => {
                Console.WriteLine("\nSpeech start detected event.");
            };

            recognizer.SpeechEndDetected += (s, e) => {
                Console.WriteLine("\nSpeech end detected event.");
            };

            recognizer.SessionStarted += (s, e) => {
                Console.WriteLine("\nSession started event.");
            };

            recognizer.SessionStopped += (s, e) => {
                Console.WriteLine("\nSession stopped event.");
                Console.WriteLine($"\nStop translation.");
                stopTranslation.TrySetResult(0);
            };

            // Starts continuous recognition. Uses StopContinuousRecognitionAsync() to stop recognition.
            Console.WriteLine("Start translation...");
            await recognizer.StartContinuousRecognitionAsync().ConfigureAwait(false);

            Task.WaitAny(new[] { stopTranslation.Task });
            await recognizer.StopContinuousRecognitionAsync().ConfigureAwait(false);
        }
    }
}

Veja mais exemplos de tradução de fala com identificação de idioma no GitHub.

Reconhecer uma vez

auto region = "YourServiceRegion";
// Currently the v2 endpoint is required. In a future SDK release you won't need to set it.
auto endpointString = std::format("wss://{}.stt.speech.microsoft.com/speech/universal/v2", region);
auto config = SpeechTranslationConfig::FromEndpoint(endpointString, "YourSubscriptionKey");

auto autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig::FromLanguages({ "en-US", "de-DE" });

// Sets source and target languages
// The source language will be detected by the language detection feature. 
// However, the SpeechRecognitionLanguage still need to set with a locale string, but it will not be used as the source language.
// This will be fixed in a future version of Speech SDK.
auto fromLanguage = "en-US";
config->SetSpeechRecognitionLanguage(fromLanguage);
config->AddTargetLanguage("de");
config->AddTargetLanguage("fr");

// Creates a translation recognizer using microphone as audio input.
auto recognizer = TranslationRecognizer::FromConfig(config, autoDetectSourceLanguageConfig);
cout << "Say something...\n";

// Starts translation, and returns after a single utterance is recognized. The end of a
// single utterance is determined by listening for silence at the end or until a maximum of 15
// seconds of audio is processed. The task returns the recognized text as well as the translation.
// Note: Since RecognizeOnceAsync() returns only a single utterance, it is suitable only for single
// shot recognition like command or query.
// For long-running multi-utterance recognition, use StartContinuousRecognitionAsync() instead.
auto result = recognizer->RecognizeOnceAsync().get();

// Checks result.
if (result->Reason == ResultReason::TranslatedSpeech)
{
    cout << "RECOGNIZED: Text=" << result->Text << std::endl;

    for (const auto& it : result->Translations)
    {
        cout << "TRANSLATED into '" << it.first.c_str() << "': " << it.second.c_str() << std::endl;
    }
}
else if (result->Reason == ResultReason::RecognizedSpeech)
{
    cout << "RECOGNIZED: Text=" << result->Text << " (text could not be translated)" << std::endl;
}
else if (result->Reason == ResultReason::NoMatch)
{
    cout << "NOMATCH: Speech could not be recognized." << std::endl;
}
else if (result->Reason == ResultReason::Canceled)
{
    auto cancellation = CancellationDetails::FromResult(result);
    cout << "CANCELED: Reason=" << (int)cancellation->Reason << std::endl;

    if (cancellation->Reason == CancellationReason::Error)
    {
        cout << "CANCELED: ErrorCode=" << (int)cancellation->ErrorCode << std::endl;
        cout << "CANCELED: ErrorDetails=" << cancellation->ErrorDetails << std::endl;
        cout << "CANCELED: Did you set the speech resource key and region values?" << std::endl;
    }
}

Reconhecimento contínuo

using namespace std;
using namespace Microsoft::CognitiveServices::Speech;
using namespace Microsoft::CognitiveServices::Speech::Audio;
using namespace Microsoft::CognitiveServices::Speech::Translation;

void MultiLingualTranslation()
{
    auto region = "YourServiceRegion";
    // Currently the v2 endpoint is required. In a future SDK release you won't need to set it.
    auto endpointString = std::format("wss://{}.stt.speech.microsoft.com/speech/universal/v2", region);
    auto config = SpeechTranslationConfig::FromEndpoint(endpointString, "YourSubscriptionKey");

    // Set the LanguageIdMode (Optional; Either Continuous or AtStart are accepted; Default AtStart)
    speechConfig->SetProperty(PropertyId::SpeechServiceConnection_LanguageIdMode, "Continuous");
    auto autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig::FromLanguages({ "en-US", "de-DE", "zh-CN" });

    promise<void> recognitionEnd;
    // Source language is required, but currently ignored. 
    auto fromLanguage = "en-US";
    config->SetSpeechRecognitionLanguage(fromLanguage);
    config->AddTargetLanguage("de");
    config->AddTargetLanguage("fr");

    auto audioInput = AudioConfig::FromWavFileInput("whatstheweatherlike.wav");
    auto recognizer = TranslationRecognizer::FromConfig(config, autoDetectSourceLanguageConfig, audioInput);

    recognizer->Recognizing.Connect([](const TranslationRecognitionEventArgs& e)
        {
            std::string lidResult = e.Result->Properties.GetProperty(PropertyId::SpeechServiceConnection_AutoDetectSourceLanguageResult);

            cout << "Recognizing in Language = "<< lidResult << ":" << e.Result->Text << std::endl;
            for (const auto& it : e.Result->Translations)
            {
                cout << "  Translated into '" << it.first.c_str() << "': " << it.second.c_str() << std::endl;
            }
        });

    recognizer->Recognized.Connect([](const TranslationRecognitionEventArgs& e)
        {
            if (e.Result->Reason == ResultReason::TranslatedSpeech)
            {
                std::string lidResult = e.Result->Properties.GetProperty(PropertyId::SpeechServiceConnection_AutoDetectSourceLanguageResult);
                cout << "RECOGNIZED in Language = " << lidResult << ": Text=" << e.Result->Text << std::endl;
            }
            else if (e.Result->Reason == ResultReason::RecognizedSpeech)
            {
                cout << "RECOGNIZED: Text=" << e.Result->Text << " (text could not be translated)" << std::endl;
            }
            else if (e.Result->Reason == ResultReason::NoMatch)
            {
                cout << "NOMATCH: Speech could not be recognized." << std::endl;
            }

            for (const auto& it : e.Result->Translations)
            {
                cout << "  Translated into '" << it.first.c_str() << "': " << it.second.c_str() << std::endl;
            }
        });

    recognizer->Canceled.Connect([&recognitionEnd](const TranslationRecognitionCanceledEventArgs& e)
        {
            cout << "CANCELED: Reason=" << (int)e.Reason << std::endl;
            if (e.Reason == CancellationReason::Error)
            {
                cout << "CANCELED: ErrorCode=" << (int)e.ErrorCode << std::endl;
                cout << "CANCELED: ErrorDetails=" << e.ErrorDetails << std::endl;
                cout << "CANCELED: Did you set the speech resource key and region values?" << std::endl;

                recognitionEnd.set_value();
            }
        });

    recognizer->Synthesizing.Connect([](const TranslationSynthesisEventArgs& e)
        {
            auto size = e.Result->Audio.size();
            cout << "Translation synthesis result: size of audio data: " << size
                << (size == 0 ? "(END)" : "");
        });

    recognizer->SessionStopped.Connect([&recognitionEnd](const SessionEventArgs& e)
        {
            cout << "Session stopped.";
            recognitionEnd.set_value();
        });

    // Starts continuos recognition. Use StopContinuousRecognitionAsync() to stop recognition.
    recognizer->StartContinuousRecognitionAsync().get();
    recognitionEnd.get_future().get();
    recognizer->StopContinuousRecognitionAsync().get();
}

Veja mais exemplos de tradução de fala com identificação de idioma no GitHub.

Reconhecer uma vez

import azure.cognitiveservices.speech as speechsdk
import time
import json

speech_key, service_region = "YourSubscriptionKey","YourServiceRegion"
weatherfilename="en-us_zh-cn.wav"

# set up translation parameters: source language and target languages
# Currently the v2 endpoint is required. In a future SDK release you won't need to set it. 
endpoint_string = "wss://{}.stt.speech.microsoft.com/speech/universal/v2".format(service_region)
translation_config = speechsdk.translation.SpeechTranslationConfig(
    subscription=speech_key,
    endpoint=endpoint_string,
    speech_recognition_language='en-US',
    target_languages=('de', 'fr'))
audio_config = speechsdk.audio.AudioConfig(filename=weatherfilename)

# Specify the AutoDetectSourceLanguageConfig, which defines the number of possible languages
auto_detect_source_language_config = speechsdk.languageconfig.AutoDetectSourceLanguageConfig(languages=["en-US", "de-DE", "zh-CN"])

# Creates a translation recognizer using and audio file as input.
recognizer = speechsdk.translation.TranslationRecognizer(
    translation_config=translation_config, 
    audio_config=audio_config,
    auto_detect_source_language_config=auto_detect_source_language_config)

# Starts translation, and returns after a single utterance is recognized. The end of a
# single utterance is determined by listening for silence at the end or until a maximum of 15
# seconds of audio is processed. The task returns the recognition text as result.
# Note: Since recognize_once() returns only a single utterance, it is suitable only for single
# shot recognition like command or query.
# For long-running multi-utterance recognition, use start_continuous_recognition() instead.
result = recognizer.recognize_once()

# Check the result
if result.reason == speechsdk.ResultReason.TranslatedSpeech:
    print("""Recognized: {}
    German translation: {}
    French translation: {}""".format(
        result.text, result.translations['de'], result.translations['fr']))
elif result.reason == speechsdk.ResultReason.RecognizedSpeech:
    print("Recognized: {}".format(result.text))
    detectedSrcLang = result.properties[speechsdk.PropertyId.SpeechServiceConnection_AutoDetectSourceLanguageResult]
    print("Detected Language: {}".format(detectedSrcLang))
elif result.reason == speechsdk.ResultReason.NoMatch:
    print("No speech could be recognized: {}".format(result.no_match_details))
elif result.reason == speechsdk.ResultReason.Canceled:
    print("Translation canceled: {}".format(result.cancellation_details.reason))
    if result.cancellation_details.reason == speechsdk.CancellationReason.Error:
        print("Error details: {}".format(result.cancellation_details.error_details))

Reconhecimento contínuo

import azure.cognitiveservices.speech as speechsdk
import time
import json

speech_key, service_region = "YourSubscriptionKey","YourServiceRegion"
weatherfilename="en-us_zh-cn.wav"

# Currently the v2 endpoint is required. In a future SDK release you won't need to set it. 
endpoint_string = "wss://{}.stt.speech.microsoft.com/speech/universal/v2".format(service_region)
translation_config = speechsdk.translation.SpeechTranslationConfig(
    subscription=speech_key,
    endpoint=endpoint_string,
    speech_recognition_language='en-US',
    target_languages=('de', 'fr'))
audio_config = speechsdk.audio.AudioConfig(filename=weatherfilename)

# Set the LanguageIdMode (Optional; Either Continuous or AtStart are accepted; Default AtStart)
translation_config.set_property(property_id=speechsdk.PropertyId.SpeechServiceConnection_LanguageIdMode, value='Continuous')

# Specify the AutoDetectSourceLanguageConfig, which defines the number of possible languages
auto_detect_source_language_config = speechsdk.languageconfig.AutoDetectSourceLanguageConfig(languages=["en-US", "de-DE", "zh-CN"])

# Creates a translation recognizer using and audio file as input.
recognizer = speechsdk.translation.TranslationRecognizer(
    translation_config=translation_config, 
    audio_config=audio_config,
    auto_detect_source_language_config=auto_detect_source_language_config)

def result_callback(event_type, evt):
    """callback to display a translation result"""
    print("{}: {}\n\tTranslations: {}\n\tResult Json: {}".format(
        event_type, evt, evt.result.translations.items(), evt.result.json))

done = False

def stop_cb(evt):
    """callback that signals to stop continuous recognition upon receiving an event `evt`"""
    print('CLOSING on {}'.format(evt))
    nonlocal done
    done = True

# connect callback functions to the events fired by the recognizer
recognizer.session_started.connect(lambda evt: print('SESSION STARTED: {}'.format(evt)))
recognizer.session_stopped.connect(lambda evt: print('SESSION STOPPED {}'.format(evt)))
# event for intermediate results
recognizer.recognizing.connect(lambda evt: result_callback('RECOGNIZING', evt))
# event for final result
recognizer.recognized.connect(lambda evt: result_callback('RECOGNIZED', evt))
# cancellation event
recognizer.canceled.connect(lambda evt: print('CANCELED: {} ({})'.format(evt, evt.reason)))

# stop continuous recognition on either session stopped or canceled events
recognizer.session_stopped.connect(stop_cb)
recognizer.canceled.connect(stop_cb)

def synthesis_callback(evt):
    """
    callback for the synthesis event
    """
    print('SYNTHESIZING {}\n\treceived {} bytes of audio. Reason: {}'.format(
        evt, len(evt.result.audio), evt.result.reason))
    if evt.result.reason == speechsdk.ResultReason.RecognizedSpeech:
        print("RECOGNIZED: {}".format(evt.result.properties))
        if evt.result.properties.get(speechsdk.PropertyId.SpeechServiceConnection_AutoDetectSourceLanguageResult) == None:
            print("Unable to detect any language")
        else:
            detectedSrcLang = evt.result.properties[speechsdk.PropertyId.SpeechServiceConnection_AutoDetectSourceLanguageResult]
            jsonResult = evt.result.properties[speechsdk.PropertyId.SpeechServiceResponse_JsonResult]
            detailResult = json.loads(jsonResult)
            startOffset = detailResult['Offset']
            duration = detailResult['Duration']
            if duration >= 0:
                endOffset = duration + startOffset
            else:
                endOffset = 0
            print("Detected language = " + detectedSrcLang + ", startOffset = " + str(startOffset) + " nanoseconds, endOffset = " + str(endOffset) + " nanoseconds, Duration = " + str(duration) + " nanoseconds.")
            global language_detected
            language_detected = True

# connect callback to the synthesis event
recognizer.synthesizing.connect(synthesis_callback)

# start translation
recognizer.start_continuous_recognition()

while not done:
    time.sleep(.5)

recognizer.stop_continuous_recognition()

Executar e usar um contêiner

Os contêineres de fala fornecem APIs de ponto de extremidade de consulta baseadas em websocket que são acessadas por meio do SDK de Fala e da CLI de Fala. Por padrão, o SDK de Fala e a CLI de Fala usam o serviço de Fala público. Para usar o contêiner, você precisa alterar o método de inicialização. Use uma URL de host de contêiner em vez de chave e região.

Ao executar a ID de idioma em um contêiner, use o SourceLanguageRecognizer objeto em vez de SpeechRecognizer ou TranslationRecognizer.

Para obter mais informações sobre contêineres, consulte o guia de instruções sobre contêineres de fala de identificação de idioma.

Implementar transcrição de fala para texto em lote

Para identificar idiomas com a API REST de transcrição em lote, use languageIdentification a propriedade no corpo da solicitação Transcriptions_Create .

Aviso

A transcrição em lote suporta apenas a identificação de idioma para modelos base padrão. Se a identificação do idioma e um modelo personalizado forem especificados na solicitação de transcrição, o serviço voltará a usar os modelos base para os idiomas candidatos especificados. Isso pode resultar em resultados de reconhecimento inesperados.

Se o seu cenário de fala para texto exigir identificação de idioma e modelos personalizados, use fala em tempo real para texto em vez de transcrição em lote.

O exemplo a seguir mostra o languageIdentification uso da propriedade com quatro idiomas candidatos. Para obter mais informações sobre propriedades de solicitação, consulte Criar uma transcrição em lote.

{
    <...>
    
    "properties": {
    <...>
    
        "languageIdentification": {
            "candidateLocales": [
            "en-US",
            "ja-JP",
            "zh-CN",
            "hi-IN"
            ]
        },	
        <...>
    }
}

Conteúdos relacionados

• Experimente o início rápido de fala para texto
• Melhore a precisão do reconhecimento com fala personalizada
• Usar transcrição em lote