Summary
Congratulations on building an audio binary classification speech model!
We have covered the basics of building an audio machine learning model from understanding how analog sound turns to digital sound, to creating spectrogram images of our wave files. We used the Speech Commands dataset, parsed the classes down to yes and no, looked at ways we can understand and visualize audio data, and created spectrogram images based on the audio. From there, we used a convolutional neural network to build our model an used the spectrograms images to train it.
Be sure to check out the other modules in this learning path to learn more about machine learning with TensorFlow.