Quickstart: Recognize and translate speech to text

Članak
06/13/2022
20 min. za čitanje

Reference documentation | Package (NuGet) | Additional Samples on GitHub

In this quickstart, you run an application to translate speech from one language to text in another language.

Prerequisites

Azure subscription - Create one for free
Create a Speech resource in the Azure portal.
Get the resource key and region. After your Speech resource is deployed, select Go to resource to view and manage keys. For more information about Cognitive Services resources, see Get the keys for your resource.

Set up the environment

The Speech SDK is available as a NuGet package and implements .NET Standard 2.0. You install the Speech SDK in the next section of this article, but first check the SDK installation guide for any more requirements.

I ran into an issue

Translate speech from a microphone

Follow these steps to create a new console application and install the Speech SDK.

Open a command prompt where you want the new project, and create a console application with the .NET CLI.
```
dotnet new console
```
Install the Speech SDK in your new project with the .NET CLI.
```
dotnet add package Microsoft.CognitiveServices.Speech
```

Replace the contents of Program.cs with the following code.

using System;
using System.IO;
using System.Threading.Tasks;
using Microsoft.CognitiveServices.Speech;
using Microsoft.CognitiveServices.Speech.Audio;
using Microsoft.CognitiveServices.Speech.Translation;

class Program 
{
    static string YourSubscriptionKey = "YourSubscriptionKey";
    static string YourServiceRegion = "YourServiceRegion";

    static void OutputSpeechRecognitionResult(TranslationRecognitionResult translationRecognitionResult)
    {
        switch (translationRecognitionResult.Reason)
        {
            case ResultReason.TranslatedSpeech:
                Console.WriteLine($"RECOGNIZED: Text={translationRecognitionResult.Text}");
                foreach (var element in translationRecognitionResult.Translations)
                {
                    Console.WriteLine($"TRANSLATED into '{element.Key}': {element.Value}");
                }
                break;
            case ResultReason.NoMatch:
                Console.WriteLine($"NOMATCH: Speech could not be recognized.");
                break;
            case ResultReason.Canceled:
                var cancellation = CancellationDetails.FromResult(translationRecognitionResult);
                Console.WriteLine($"CANCELED: Reason={cancellation.Reason}");

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

    async static Task Main(string[] args)
    {
        var speechTranslationConfig = SpeechTranslationConfig.FromSubscription(YourSubscriptionKey, YourServiceRegion);        
        speechTranslationConfig.SpeechRecognitionLanguage = "en-US";
        speechTranslationConfig.AddTargetLanguage("it");

        using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
        using var translationRecognizer = new TranslationRecognizer(speechTranslationConfig, audioConfig);

        Console.WriteLine("Speak into your microphone.");
        var translationRecognitionResult = await translationRecognizer.RecognizeOnceAsync();
        OutputSpeechRecognitionResult(translationRecognitionResult);
    }
}

In Program.cs, replace YourSubscriptionKey with your Speech resource key, and replace YourServiceRegion with your Speech resource region.

Important

Remember to remove the key from your code when you're done, and never post it publicly. For production, use a secure way of storing and accessing your credentials like Azure Key Vault. See the Cognitive Services security article for more information.
To change the speech recognition language, replace en-US with another supported language. Specify the full locale with a dash (-) separator. For example, es-ES for Spanish (Spain). The default language is en-US if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see language identification.
To change the translation target language, replace it with another supported language. With few exceptions you only specify the language code that precedes the locale dash (-) separator. For example, use es for Spanish (Spain) instead of es-ES. The default language is en if you don't specify a language.

Run your new console application to start speech recognition from a microphone:

dotnet run

Speak into your microphone when prompted. What you speak should be output as translated text in the target language:

Speak into your microphone.
RECOGNIZED: Text=I'm excited to try speech translation.
TRANSLATED into 'it': Sono entusiasta di provare la traduzione vocale.

I ran into an issue

Remarks

Now that you've completed the quickstart, here are some additional considerations:

This example uses the RecognizeOnceAsync operation to transcribe utterances of up to 30 seconds, or until silence is detected. For information about continuous recognition for longer audio, including multi-lingual conversations, see How to translate speech.
To recognize speech from an audio file, use FromWavFileInput instead of FromDefaultMicrophoneInput:
```
using var audioConfig = AudioConfig.FromWavFileInput("YourAudioFile.wav");
```
For compressed audio files such as MP4, install GStreamer and use PullAudioInputStream or PushAudioInputStream. For more information, see How to use compressed input audio.

Clean up resources

You can use the Azure portal or Azure Command Line Interface (CLI) to remove the Speech resource you created.

Reference documentation | Package (NuGet) | Additional Samples on GitHub

In this quickstart, you run an application to translate speech from one language to text in another language.

Prerequisites

Azure subscription - Create one for free
Create a Speech resource in the Azure portal.
Get the resource key and region. After your Speech resource is deployed, select Go to resource to view and manage keys. For more information about Cognitive Services resources, see Get the keys for your resource.

I ran into an issue

Set up the environment

I ran into an issue

Translate speech from a microphone

Follow these steps to create a new console application and install the Speech SDK.

Create a new C++ console project in Visual Studio named SpeechTranslation.
Install the Speech SDK in your new project with the NuGet package manager.
```
Install-Package Microsoft.CognitiveServices.Speech
```

Replace the contents of SpeechTranslation.cpp with the following code:

#include <iostream> 
#include <speechapi_cxx.h>

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

auto YourSubscriptionKey = "YourSubscriptionKey";
auto YourServiceRegion = "YourServiceRegion";

int main()
{
    auto speechTranslationConfig = SpeechTranslationConfig::FromSubscription(YourSubscriptionKey, YourServiceRegion);
    speechTranslationConfig->SetSpeechRecognitionLanguage("en-US");
    speechTranslationConfig->AddTargetLanguage("it");

    auto audioConfig = AudioConfig::FromDefaultMicrophoneInput();
    auto translationRecognizer = TranslationRecognizer::FromConfig(speechTranslationConfig, audioConfig);

    std::cout << "Speak into your microphone.\n";
    auto result = translationRecognizer->RecognizeOnceAsync().get();

    if (result->Reason == ResultReason::TranslatedSpeech)
    {
        std::cout << "RECOGNIZED: Text=" << result->Text << std::endl;
        for (auto pair : result->Translations)
        {
            auto language = pair.first;
            auto translation = pair.second;
            std::cout << "Translated into '" << language << "': " << translation << std::endl;
        }
    }
    else if (result->Reason == ResultReason::NoMatch)
    {
        std::cout << "NOMATCH: Speech could not be recognized." << std::endl;
    }
    else if (result->Reason == ResultReason::Canceled)
    {
        auto cancellation = CancellationDetails::FromResult(result);
        std::cout << "CANCELED: Reason=" << (int)cancellation->Reason << std::endl;

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

In SpeechTranslation.cpp, replace YourSubscriptionKey with your Speech resource key, and replace YourServiceRegion with your Speech resource region.

Important

Remember to remove the key from your code when you're done, and never post it publicly. For production, use a secure way of storing and accessing your credentials like Azure Key Vault. See the Cognitive Services security article for more information.
To change the speech recognition language, replace en-US with another supported language. Specify the full locale with a dash (-) separator. For example, es-ES for Spanish (Spain). The default language is en-US if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see language identification.
To change the translation target language, replace it with another supported language. With few exceptions you only specify the language code that precedes the locale dash (-) separator. For example, use es for Spanish (Spain) instead of es-ES. The default language is en if you don't specify a language.

Build and run your new console application to start speech recognition from a microphone.

Speak into your microphone when prompted. What you speak should be output as translated text in the target language:

Speak into your microphone.
RECOGNIZED: Text=I'm excited to try speech translation.
Translated into 'it': Sono entusiasta di provare la traduzione vocale.

I ran into an issue

Remarks

Now that you've completed the quickstart, here are some additional considerations:

This example uses the RecognizeOnceAsync operation to transcribe utterances of up to 30 seconds, or until silence is detected. For information about continuous recognition for longer audio, including multi-lingual conversations, see How to translate speech.
To recognize speech from an audio file, use FromWavFileInput instead of FromDefaultMicrophoneInput:
```
auto audioInput = AudioConfig::FromWavFileInput("YourAudioFile.wav");
```
For compressed audio files such as MP4, install GStreamer and use PullAudioInputStream or PushAudioInputStream. For more information, see How to use compressed input audio.

Clean up resources

You can use the Azure portal or Azure Command Line Interface (CLI) to remove the Speech resource you created.

Reference documentation | Package (Go) | Additional Samples on GitHub

The Speech SDK for Go does not support speech translation. Please select another programming language or the Go reference and samples linked from the beginning of this article.

Reference documentation | Additional Samples on GitHub

In this quickstart, you run an application to translate speech from one language to text in another language.

Prerequisites

Azure subscription - Create one for free
Create a Speech resource in the Azure portal.
Get the resource key and region. After your Speech resource is deployed, select Go to resource to view and manage keys. For more information about Cognitive Services resources, see Get the keys for your resource.

I ran into an issue

Set up the environment

Before you can do anything, you need to install the Speech SDK. The sample in this quickstart works with the Java Runtime.

Install Apache Maven

Create a new pom.xml file in the root of your project, and copy the following into it:

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>com.microsoft.cognitiveservices.speech.samples</groupId>
    <artifactId>quickstart-eclipse</artifactId>
    <version>1.0.0-SNAPSHOT</version>
    <build>
        <sourceDirectory>src</sourceDirectory>
        <plugins>
        <plugin>
            <artifactId>maven-compiler-plugin</artifactId>
            <version>3.7.0</version>
            <configuration>
            <source>1.8</source>
            <target>1.8</target>
            </configuration>
        </plugin>
        </plugins>
    </build>
    <repositories>
        <repository>
        <id>maven-cognitiveservices-speech</id>
        <name>Microsoft Cognitive Services Speech Maven Repository</name>
        <url>https://azureai.azureedge.net/maven/</url>
        </repository>
    </repositories>
    <dependencies>
        <dependency>
        <groupId>com.microsoft.cognitiveservices.speech</groupId>
        <artifactId>client-sdk</artifactId>
        <version>1.23.0</version>
        </dependency>
    </dependencies>
</project>

Install the Speech SDK and dependencies.
```
mvn clean dependency:copy-dependencies
```

I ran into an issue

Translate speech from a microphone

Follow these steps to create a new console application for speech recognition.

Create a new file named SpeechTranslation.java in the same project root directory.

Copy the following code into SpeechTranslation.java:

import com.microsoft.cognitiveservices.speech.*;
import com.microsoft.cognitiveservices.speech.audio.AudioConfig;
import com.microsoft.cognitiveservices.speech.translation.*;

import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import java.util.Map;

public class SpeechTranslation {
    private static String YourSubscriptionKey = "YourSubscriptionKey";
    private static String YourServiceRegion = "YourServiceRegion";

    public static void main(String[] args) throws InterruptedException, ExecutionException {
        SpeechTranslationConfig speechTranslationConfig = SpeechTranslationConfig.fromSubscription(YourSubscriptionKey, YourServiceRegion);
        speechTranslationConfig.setSpeechRecognitionLanguage("en-US");

        String[] toLanguages = { "it" };
        for (String language : toLanguages) {
            speechTranslationConfig.addTargetLanguage(language);
        }

        recognizeFromMicrophone(speechTranslationConfig);
    }

    public static void recognizeFromMicrophone(SpeechTranslationConfig speechTranslationConfig) throws InterruptedException, ExecutionException {
        AudioConfig audioConfig = AudioConfig.fromDefaultMicrophoneInput();
        TranslationRecognizer translationRecognizer = new TranslationRecognizer(speechTranslationConfig, audioConfig);

        System.out.println("Speak into your microphone.");
        Future<TranslationRecognitionResult> task = translationRecognizer.recognizeOnceAsync();
        TranslationRecognitionResult translationRecognitionResult = task.get();

        if (translationRecognitionResult.getReason() == ResultReason.TranslatedSpeech) {
            System.out.println("RECOGNIZED: Text=" + translationRecognitionResult.getText());
            for (Map.Entry<String, String> pair : translationRecognitionResult.getTranslations().entrySet()) {
                System.out.printf("Translated into '%s': %s\n", pair.getKey(), pair.getValue());
            }
        }
        else if (translationRecognitionResult.getReason() == ResultReason.NoMatch) {
            System.out.println("NOMATCH: Speech could not be recognized.");
        }
        else if (translationRecognitionResult.getReason() == ResultReason.Canceled) {
            CancellationDetails cancellation = CancellationDetails.fromResult(translationRecognitionResult);
            System.out.println("CANCELED: Reason=" + cancellation.getReason());

            if (cancellation.getReason() == CancellationReason.Error) {
                System.out.println("CANCELED: ErrorCode=" + cancellation.getErrorCode());
                System.out.println("CANCELED: ErrorDetails=" + cancellation.getErrorDetails());
                System.out.println("CANCELED: Did you set the speech resource key and region values?");
            }
        }

        System.exit(0);
    }
}

In SpeechTranslation.java, replace YourSubscriptionKey with your Speech resource key, and replace YourServiceRegion with your Speech resource region.

Important

Remember to remove the key from your code when you're done, and never post it publicly. For production, use a secure way of storing and accessing your credentials like Azure Key Vault. See the Cognitive Services security article for more information.
To change the speech recognition language, replace en-US with another supported language. Specify the full locale with a dash (-) separator. For example, es-ES for Spanish (Spain). The default language is en-US if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see language identification.
To change the translation target language, replace it with another supported language. With few exceptions you only specify the language code that precedes the locale dash (-) separator. For example, use es for Spanish (Spain) instead of es-ES. The default language is en if you don't specify a language.

Run your new console application to start speech recognition from a microphone:

javac SpeechTranslation.java -cp ".;target\dependency\*"
java -cp ".;target\dependency\*" SpeechTranslation

Speak into your microphone when prompted. What you speak should be output as translated text in the target language:

Speak into your microphone.
RECOGNIZED: Text=I'm excited to try speech translation.
Translated into 'it': Sono entusiasta di provare la traduzione vocale.

I ran into an issue

Remarks

Now that you've completed the quickstart, here are some additional considerations:

This example uses the RecognizeOnceAsync operation to transcribe utterances of up to 30 seconds, or until silence is detected. For information about continuous recognition for longer audio, including multi-lingual conversations, see How to translate speech.
To recognize speech from an audio file, use fromWavFileInput instead of fromDefaultMicrophoneInput:
```
AudioConfig audioConfig = AudioConfig.fromWavFileInput("YourAudioFile.wav");
```
For compressed audio files such as MP4, install GStreamer and use PullAudioInputStream or PushAudioInputStream. For more information, see How to use compressed input audio.

Clean up resources

You can use the Azure portal or Azure Command Line Interface (CLI) to remove the Speech resource you created.

Reference documentation | Package (npm) | Additional Samples on GitHub | Library source code

In this quickstart, you run an application to translate speech from one language to text in another language.

Prerequisites

Azure subscription - Create one for free
Create a Speech resource in the Azure portal.
Get the resource key and region. After your Speech resource is deployed, select Go to resource to view and manage keys. For more information about Cognitive Services resources, see Get the keys for your resource.

I ran into an issue

Set up the environment

Before you can do anything, you need to install the Speech SDK for JavaScript. If you just want the package name to install, run npm install microsoft-cognitiveservices-speech-sdk. For guided installation instructions, see the SDK installation guide.

I ran into an issue

Translate speech from a file

Follow these steps to create a Node.js console application for speech recognition.

Open a command prompt where you want the new project, and create a new file named SpeechTranslation.js.

Install the Speech SDK for JavaScript:

npm install microsoft-cognitiveservices-speech-sdk

Copy the following code into SpeechTranslation.js:

const fs = require("fs");
const sdk = require("microsoft-cognitiveservices-speech-sdk");
const speechTranslationConfig = sdk.SpeechTranslationConfig.fromSubscription("YourSubscriptionKey", "YourServiceRegion");
speechTranslationConfig.speechRecognitionLanguage = "en-US";

var language = "it";
speechTranslationConfig.addTargetLanguage(language);

function fromFile() {
    let audioConfig = sdk.AudioConfig.fromWavFileInput(fs.readFileSync("YourAudioFile.wav"));
    let translationRecognizer = new sdk.TranslationRecognizer(speechTranslationConfig, audioConfig);

    translationRecognizer.recognizeOnceAsync(result => {
        switch (result.reason) {
            case sdk.ResultReason.TranslatedSpeech:
                console.log(`RECOGNIZED: Text=${result.text}`);
                console.log("Translated into [" + language + "]: " + result.translations.get(language));

                break;
            case sdk.ResultReason.NoMatch:
                console.log("NOMATCH: Speech could not be recognized.");
                break;
            case sdk.ResultReason.Canceled:
                const cancellation = sdk.CancellationDetails.fromResult(result);
                console.log(`CANCELED: Reason=${cancellation.reason}`);

                if (cancellation.reason == sdk.CancellationReason.Error) {
                    console.log(`CANCELED: ErrorCode=${cancellation.ErrorCode}`);
                    console.log(`CANCELED: ErrorDetails=${cancellation.errorDetails}`);
                    console.log("CANCELED: Did you set the speech resource key and region values?");
                }
                break;
        }
        translationRecognizer.close();
    });
}
fromFile();

In SpeechTranslation.js, replace YourSubscriptionKey with your Speech resource key, and replace YourServiceRegion with your Speech resource region.

Important

Remember to remove the key from your code when you're done, and never post it publicly. For production, use a secure way of storing and accessing your credentials like Azure Key Vault. See the Cognitive Services security article for more information.
In SpeechTranslation.js, replace YourAudioFile.wav with your own WAV file. This example only recognizes speech from a WAV file. For information about other audio formats, see How to use compressed input audio. This example supports up to 30 seconds audio.
To change the speech recognition language, replace en-US with another supported language. Specify the full locale with a dash (-) separator. For example, es-ES for Spanish (Spain). The default language is en-US if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see language identification.
To change the translation target language, replace it with another supported language. With few exceptions you only specify the language code that precedes the locale dash (-) separator. For example, use es for Spanish (Spain) instead of es-ES. The default language is en if you don't specify a language.

Run your new console application to start speech recognition from a file:

node.exe SpeechTranslation.js

The speech from the audio file should be output as translated text in the target language:

RECOGNIZED: Text=I'm excited to try speech translation.
Translated into [it]: Sono entusiasta di provare la traduzione vocale.

I ran into an issue

Remarks

Now that you've completed the quickstart, here are some additional considerations:

This example uses the recognizeOnceAsync operation to transcribe utterances of up to 30 seconds, or until silence is detected. For information about continuous recognition for longer audio, including multi-lingual conversations, see How to translate speech.

Note

Recognizing speech from a microphone is not supported in Node.js. It's supported only in a browser-based JavaScript environment.

Clean up resources

You can use the Azure portal or Azure Command Line Interface (CLI) to remove the Speech resource you created.

Reference documentation | Package (Download) | Additional Samples on GitHub

The Speech SDK for Objective-C does support speech translation, but we haven't yet included a guide here. Please select another programming language to get started and learn about the concepts, or see the Objective-C reference and samples linked from the beginning of this article.

Reference documentation | Package (Download) | Additional Samples on GitHub

The Speech SDK for Swift does support speech translation, but we haven't yet included a guide here. Please select another programming language to get started and learn about the concepts, or see the Swift reference and samples linked from the beginning of this article.

Reference documentation | Package (PyPi) | Additional Samples on GitHub

In this quickstart, you run an application to translate speech from one language to text in another language.

Prerequisites

Azure subscription - Create one for free
Create a Speech resource in the Azure portal.
Get the resource key and region. After your Speech resource is deployed, select Go to resource to view and manage keys. For more information about Cognitive Services resources, see Get the keys for your resource.

I ran into an issue

Set up the environment

The Speech SDK for Python is available as a Python Package Index (PyPI) module. The Speech SDK for Python is compatible with Windows, Linux, and macOS.

You must install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017, 2019, or 2022 for your platform. Installing this package for the first time might require a restart.
On Linux, you must use the x64 target architecture.

Install a version of Python from 3.7 to 3.10. First check the SDK installation guide for any more requirements

I ran into an issue

Translate speech from a microphone

Follow these steps to create a new console application.

Open a command prompt where you want the new project, and create a new file named speech-recognition.py.

Run this command to install the Speech SDK:

pip install azure-cognitiveservices-speech

Copy the following code into speech_translation.py:

import azure.cognitiveservices.speech as speechsdk

def recognize_from_microphone():
    speech_translation_config = speechsdk.translation.SpeechTranslationConfig(subscription="YourSubscriptionKey", region="YourServiceRegion")
    speech_translation_config.speech_recognition_language="en-US"

    target_language="it"
    speech_translation_config.add_target_language(target_language)

    audio_config = speechsdk.audio.AudioConfig(use_default_microphone=True)
    translation_recognizer = speechsdk.translation.TranslationRecognizer(translation_config=speech_translation_config, audio_config=audio_config)

    print("Speak into your microphone.")
    translation_recognition_result = translation_recognizer.recognize_once_async().get()

    if translation_recognition_result.reason == speechsdk.ResultReason.TranslatedSpeech:
        print("Recognized: {}".format(translation_recognition_result.text))
        print("""Translated into '{}': {}""".format(
            target_language, 
            translation_recognition_result.translations[target_language]))
    elif translation_recognition_result.reason == speechsdk.ResultReason.NoMatch:
        print("No speech could be recognized: {}".format(translation_recognition_result.no_match_details))
    elif translation_recognition_result.reason == speechsdk.ResultReason.Canceled:
        cancellation_details = translation_recognition_result.cancellation_details
        print("Speech Recognition canceled: {}".format(cancellation_details.reason))
        if cancellation_details.reason == speechsdk.CancellationReason.Error:
            print("Error details: {}".format(cancellation_details.error_details))
            print("Did you set the speech resource key and region values?")

recognize_from_microphone()

In speech_translation.py, replace YourSubscriptionKey with your Speech resource key, and replace YourServiceRegion with your Speech resource region.

Important

Remember to remove the key from your code when you're done, and never post it publicly. For production, use a secure way of storing and accessing your credentials like Azure Key Vault. See the Cognitive Services security article for more information.
To change the speech recognition language, replace en-US with another supported language. Specify the full locale with a dash (-) separator. For example, es-ES for Spanish (Spain). The default language is en-US if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see language identification.
To change the translation target language, replace it with another supported language. With few exceptions you only specify the language code that precedes the locale dash (-) separator. For example, use es for Spanish (Spain) instead of es-ES. The default language is en if you don't specify a language.

Run your new console application to start speech recognition from a microphone:

python speech_translation.py

Speak into your microphone when prompted. What you speak should be output as translated text in the target language:

Speak into your microphone.
Recognized: I'm excited to try speech translation.
Translated into 'it': Sono entusiasta di provare la traduzione vocale.

I ran into an issue

Remarks

Now that you've completed the quickstart, here are some additional considerations:

This example uses the recognize_once_async operation to transcribe utterances of up to 30 seconds, or until silence is detected. For information about continuous recognition for longer audio, including multi-lingual conversations, see How to translate speech.
To recognize speech from an audio file, use filename instead of use_default_microphone:
```
audio_config = speechsdk.audio.AudioConfig(filename="YourAudioFile.wav")
```
For compressed audio files such as MP4, install GStreamer and use PullAudioInputStream or PushAudioInputStream. For more information, see How to use compressed input audio.

Clean up resources

You can use the Azure portal or Azure Command Line Interface (CLI) to remove the Speech resource you created.

Speech-to-text REST API v3.0 reference | Speech-to-text REST API for short audio reference | Additional Samples on GitHub

The REST API does not support speech translation. Please select another programming language or tool from the top of this page.

In this quickstart, you run an application to translate speech from one language to text in another language.

Prerequisites

Azure subscription - Create one for free
Create a Speech resource in the Azure portal.
Get the resource key and region. After your Speech resource is deployed, select Go to resource to view and manage keys. For more information about Cognitive Services resources, see Get the keys for your resource.

I ran into an issue

Set up the environment

Follow these steps and see the Speech CLI quickstart for additional requirements for your platform.

Install the Speech CLI via the .NET CLI by entering this command:

dotnet tool install --global Microsoft.CognitiveServices.Speech.CLI

Configure your Speech resource key and region, by running the following commands. Replace SUBSCRIPTION-KEY with your Speech resource key, and replace REGION with your Speech resource region:
- Terminal
- PowerShell
```
spx config @key --set SUBSCRIPTION-KEY
spx config @region --set REGION
```
```
spx --% config @key --set SUBSCRIPTION-KEY
spx --% config @region --set REGION
```

I ran into an issue

Translate speech from a microphone

Run the following command to translate speech from the microphone from English to Italian:

spx translate --source en-US --target it --microphone

Speak into the microphone, and you see the transcription of your translated speech in real time. The Speech CLI stops after a period of silence, 30 seconds, or when you press Ctrl+C.

Connection CONNECTED...
TRANSLATING into 'it': Sono (from 'I'm')
TRANSLATING into 'it': Sono entusiasta (from 'I'm excited to')
TRANSLATING into 'it': Sono entusiasta di provare la parola (from 'I'm excited to try speech')
TRANSLATED into 'it': Sono entusiasta di provare la traduzione vocale. (from 'I'm excited to try speech translation.')

I ran into an issue

Remarks

Now that you've completed the quickstart, here are some additional considerations:

To get speech from an audio file, use --file instead of --microphone. For compressed audio files such as MP4, install GStreamer and use --format. For more information, see How to use compressed input audio.

Terminal
PowerShell

spx translate --source en-US --target it --file YourAudioFile.wav
spx translate --source en-US --target it --file YourAudioFile.mp4 --format any

spx translate --source en-US --target it --file YourAudioFile.wav
spx translate --source en-US --target it --file YourAudioFile.mp4 --format any

To improve recognition accuracy of specific words or utterances, use a phrase list. You include a phrase list in-line or with a text file:

Terminal
PowerShell

spx translate --source en-US --target it --microphone --phrases "Contoso;Jessie;Rehaan;"
spx translate --source en-US --target it --microphone --phrases @phrases.txt

spx --% translate --source en-US --target it --microphone --phrases "Contoso;Jessie;Rehaan;"
spx --% translate --source en-US --target it --microphone --phrases @phrases.txt

To change the speech recognition language, replace en-US with another supported language. Specify the full locale with a dash (-) separator. For example, es-ES for Spanish (Spain). The default language is en-US if you don't specify a language.
```
spx translate --microphone --source es-ES
```
To change the translation target language, replace it with another supported language. With few exceptions you only specify the language code that precedes the locale dash (-) separator. For example, use es for Spanish (Spain) instead of es-ES. The default language is en if you don't specify a language.
```
spx translate --microphone --target es
```
For continuous recognition of audio longer than 30 seconds, append --continuous:
```
spx translate --source en-US --target it --microphone --continuous
```

Run this command for information about additional speech translation options such as file input and output:

spx help translate

Clean up resources

You can use the Azure portal or Azure Command Line Interface (CLI) to remove the Speech resource you created.

Next steps

Learn more about speech translation

Quickstart: Recognize and translate speech to text

Prerequisites

Set up the environment

Translate speech from a microphone

Remarks

Clean up resources

Prerequisites

Set up the environment

Translate speech from a microphone

Remarks

Clean up resources

Prerequisites

Set up the environment

Translate speech from a microphone

Remarks

Clean up resources

Prerequisites

Set up the environment

Translate speech from a file

Remarks

Clean up resources

Prerequisites

Set up the environment

Translate speech from a microphone

Remarks

Clean up resources

Prerequisites

Set up the environment

Translate speech from a microphone

Remarks

Clean up resources

Next steps

Povratne informacije