CODEWITHSUNDEEP
speech-recognitionrecurrent-neural-networkunsupervised-learning
udani
udani

Reputation: 1307

How to prepare a dataset for speech recognition

I need to train a Bidirectional LSTM model to recognize discrete speech (individual numbers from 0 to 9) I have recorded speech from 100 speakers. What should I do next? (Suppose I am splitting them into individual .wav files containing one number per file) I will be using mfcc as features for the network.

Further, I would like to know the difference in the dataset if I am going to use a library that support CTC (Connectionist Temporal Classification)

Upvotes: 5

Views: 3411

Answers (1)

Nirbhay Tandon
Nirbhay Tandon

Reputation: 318

You can use the answer/guidance provided here

Depending on what library you are using to create your LSTM(pybrain, theano, keras), you can look through their documentation.

I would recommend using Theano(Binary LSTM link) or Keras(Tutorial) for this because they are fairly simple to understand and are well documented.

hope this helps.

Upvotes: 4

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