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phoneme_classification's Introduction

Master's Thesis - Phoneme Classification

Phoneme classification using multiple methods:

  • Feed-forward neural network + Viterbi decoding
  • Recurrent neural network (LSTM/GRU) + Viterbi decoding
  • Seq2Seq recurrent neural network

Tested on log filterbank energies and MFCC both with and without delta/delta-delta coefficients.

Developed in Python 3.4 with Keras.

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