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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.
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Mar 14, 2022 - Python
SincNet is a neural architecture for efficiently processing raw audio samples.
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Apr 28, 2021 - 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.
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Dec 9, 2024 - HTML
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
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Jan 23, 2018 - Python
The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.
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Mar 5, 2022
MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks
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Jun 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.
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Jan 31, 2019 - Python
Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio -https://github.com/mravanelli/SincNet)
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May 18, 2021 - Python
Python implementation of pre-processing for End-to-End speech recognition
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Feb 19, 2018 - Python
Speech recognition on the TIMIT (or any other) dataset
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Nov 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.
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Feb 10, 2018 - Perl
Pytorch based phoneme recognition (TIMIT phoneme classification)
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Apr 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.
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Apr 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.
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Jan 18, 2018 - Python
Attention-based end-to-end ASR on TIMIT in PyTorch
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Nov 9, 2021 - Python
Extract mfcc vectors and phones from TIMIT dataset
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Mar 23, 2023 - Shell
Sum-Product Networks (SPNs) for Robust Automatic Speaker Identification.
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Aug 30, 2020 - Python
Python/numpy/pandas convenience wrapper for the TIMIT database.
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Nov 26, 2018 - Jupyter Notebook
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