How to train CNN on common voice dataset

Question

I am trying to train a cnn with the common voice dataset. I am new to speech recognition and am not able to find any links on how to use the dataset with keras. I followed this article to build a simple word classification network. But I want to scale it up with the common voice dataset. any help is appreciated.

Thank you

Answer 1

What you can do is looking at MFCCs. In short, these are features extracted from the audio waveform by using signal processing techniques to transcribe the way humans perceive sound. In python, you can use python-speech-features to compute MFCCs.

Once you have prepared your data, you can build a CNN; for example something like this one:

You can also use RNNs (LSTM or GRU for example), but this is a bit more advanced.

EDIT: A very good dataset to start, if you want:

Speech Commands Dataset