Projects in Awesome Lists tagged with timit

https://github.com/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.

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

Last synced: 15 May 2025

https://github.com/mravanelli/sincnet

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

artificial-intelligence asr audio audio-processing cnn convolutional-neural-networks deep-learning digital-signal-processing filtering neural-networks python pytorch signal-processing speaker-identification speaker-recognition speaker-verification speech-processing speech-recognition timit waveform

Last synced: 16 May 2025

https://github.com/mravanelli/SincNet

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

artificial-intelligence asr audio audio-processing cnn convolutional-neural-networks deep-learning digital-signal-processing filtering neural-networks python pytorch signal-processing speaker-identification speaker-recognition speaker-verification speech-processing speech-recognition timit waveform

Last synced: 26 Apr 2025

https://github.com/speechbrain/speechbrain.github.io

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.

beamforming deep-learning deeplearning librispeech neural-network neural-networks speaker-identification speaker-recognition speaker-verification speech speech-analysis speech-api speech-emotion-recognition speech-processing speech-recognition speech-recognizer speech-separation speech-to-text speechrecognition timit

Last synced: 04 May 2025

https://github.com/hirofumi0810/tensorflow_end2end_speech_recognition

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

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

Last synced: 27 Nov 2024

https://github.com/philipperemy/timit

The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.

darpa speech timit timit-dataset

Last synced: 29 Mar 2025

https://github.com/Diamondfan/CTC_pytorch

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

ctc decoder kaldi pytorch timit

Last synced: 27 Nov 2024

https://github.com/diamondfan/ctc_pytorch

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

ctc decoder kaldi pytorch timit

Last synced: 07 May 2025

https://github.com/grausof/keras-sincnet

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

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

Last synced: 13 Apr 2025

https://github.com/mravanelli/pytorch_mlp_for_asr

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.

asr cuda deep-learning deep-neural-networks feedforward-neural-network kaldi kaldi-asr mlp multilayer-perceptron neural-networks python pytorch speech-recognition timit

Last synced: 02 Dec 2024

https://github.com/mravanelli/pytorch_MLP_for_ASR

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.

asr cuda deep-learning deep-neural-networks feedforward-neural-network kaldi kaldi-asr mlp multilayer-perceptron neural-networks python pytorch speech-recognition timit

Last synced: 27 Nov 2024

https://github.com/mravanelli/theano-kaldi-rnn

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