timit

Here are 33 public repositories matching this topic...

mravanelli / pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm

Updated Mar 14, 2022
Python

mravanelli / SincNet

Star

SincNet is a neural architecture for efficiently processing raw audio samples.

Updated Apr 28, 2021
Python

speechbrain / speechbrain.github.io

Star

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Updated Dec 9, 2024
HTML

hirofumi0810 / tensorflow_end2end_speech_recognition

Star

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

tensorflow end-to-end speech-recognition beam-search automatic-speech-recognition speech-to-text attention-mechanism asr timit-dataset ctc timit end-to-end-learning csj librispeech joint-ctc-attention

Updated Jan 23, 2018
Python

philipperemy / timit

Sponsor

Star

The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.

speech timit-dataset timit darpa

Updated Mar 5, 2022

Diamondfan / CTC_pytorch

Star

CTC end -to-end ASR for timit and 863 corpus.

decoder pytorch kaldi ctc timit

Updated Dec 20, 2019
Python

HawkAaron / RNN-Transducer

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MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks

mxnet end-to-end speech-recognition transducers asr timit rnnt-joint rnn-transducer sequence-transduction rnnt-model

Updated Jun 7, 2021
Python

WindQAQ / listen-attend-and-spell

Star

Tensorflow implementation of "Listen, Attend and Spell" authored by William Chan. This project utilizes input pipeline and estimator API of Tensorflow, which makes the training and evaluation truly end-to-end.

tensorflow speech-recognition seq2seq speech-to-text timit listen-attend-and-spell

Updated Jan 31, 2019
Python

grausof / keras-sincnet

Star

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

audio machine-learning deep-learning neural-network tensorflow waveform keras cnn artificial-intelligence speech-recognition convolutional-neural-networks digital-signal-processing filtering speaker-recognition speaker-verification speech-processing audio-processing asr timit

Updated May 18, 2021
Python

hirofumi0810 / asr_preprocessing

Star

Python implementation of pre-processing for End-to-End speech recognition

end-to-end dataset speech-recognition automatic-speech-recognition preprocessing transcription attention-mechanism timit-dataset ctc switchboard timit csj librispeech

Updated Feb 19, 2018
Python

matthijsvk / TIMITspeech

Star

Speech recognition on the TIMIT (or any other) dataset

theano neural-network speech speech-recognition phonemes timit

Updated Nov 2, 2017
Python

mravanelli / pytorch_MLP_for_ASR

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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

AppleHolic / PytorchSR

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Pytorch based phoneme recognition (TIMIT phoneme classification)

paper pytorch timit speechrecognition minimalgru cbhg

Updated Apr 25, 2018
Python

mravanelli / theano-kaldi-rnn

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THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

deep-neural-networks theano deep-learning recurrent-neural-networks gru rnn kaldi timit gated-recurrent-units theano-kaldi-rnns

Updated Apr 15, 2018
Perl

zhaoyu611 / Automatic_Speech_Recognition_with_Multi_Models

Star

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