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#

timit

Here are 33 public repositories matching this topic...

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.

  • UpdatedMar 14, 2022
  • Python

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.

  • UpdatedDec 9, 2024
  • HTML

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

  • UpdatedJan 23, 2018
  • Python

The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.

  • UpdatedMar 5, 2022

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

  • UpdatedDec 20, 2019
  • Python

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

  • UpdatedJun 7, 2021
  • Python

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.

  • UpdatedJan 31, 2019
  • Python

Speech recognition on the TIMIT (or any other) dataset

  • UpdatedNov 2, 2017
  • Python

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.

  • UpdatedFeb 10, 2018
  • Perl

Pytorch based phoneme recognition (TIMIT phoneme classification)

  • UpdatedApr 25, 2018
  • Python

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.

  • UpdatedApr 15, 2018
  • Perl

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.

  • UpdatedJan 18, 2018
  • Python

Attention-based end-to-end ASR on TIMIT in PyTorch

  • UpdatedNov 9, 2021
  • Python

Extract mfcc vectors and phones from TIMIT dataset

  • UpdatedMar 23, 2023
  • Shell

A collection of benchmarking tools.

  • UpdatedJan 30, 2022
  • Python

Python/numpy/pandas convenience wrapper for the TIMIT database.

  • UpdatedNov 26, 2018
  • Jupyter Notebook

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