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zhaoyu611 / Automatic_Speech_Recognition_with_Multi_Models

Star 19

A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.

deep-learning tensorflow lstm rnn automatic-speech-recognition ctc timit acoustic-model
  • Updated Jan 18, 2018
  • Python

mravanelli / pytorch_MLP_for_ASR

Star 38

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

python deep-neural-networks deep-learning cuda pytorch speech-recognition neural-networks feedforward-neural-network mlp kaldi asr timit multilayer-perceptron kaldi-asr
  • Updated Feb 10, 2018
  • Perl

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