timit
There are 34 repositories under timit 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.
mravanelli/SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
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.
hirofumi0810/tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
philipperemy/timit
The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.
Diamondfan/CTC_pytorch
CTC end -to-end ASR for timit and 863 corpus.
HawkAaron/RNN-Transducer
MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks
WindQAQ/listen-attend-and-spell
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.
grausof/keras-sincnet
Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
hirofumi0810/asr_preprocessing
Python implementation of pre-processing for End-to-End speech recognition
matthijsvk/TIMITspeech
Speech recognition on the TIMIT (or any other) dataset
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.
AppleHolic/PytorchSR
Pytorch based phoneme recognition (TIMIT phoneme classification)
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.
zhaoyu611/Automatic_Speech_Recognition_with_Multi_Models
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.
biyoml/PyTorch-End-to-End-ASR-on-TIMIT
Attention-based end-to-end ASR on TIMIT in PyTorch
orbxball/timit-preprocessor
Extract mfcc vectors and phones from TIMIT dataset
anicolson/SPN-ASI
Sum-Product Networks (SPNs) for Robust Automatic Speaker Identification.
colinator/timit_utils
Python/numpy/pandas convenience wrapper for the TIMIT database.
dingzeyuli/SpEAR-speech-database
A database of clean and noisy speech for audio research
WindQAQ/tensorflow-wavenet
Implementation of WaveNet network based on Tensorflow.
haoxintong/gluon-audio
A toolkit providing deep learning based audio recognition algorithm powered by Mxnet Gluon. Now only Text-Independent Speaker Recognition is implemented.
drkostas/bench-utils
A collection of benchmarking tools.
KrishnaDN/LAS-Pytorch
Implementation of the paper "Listen, Attend and Spell" Paper in Pytorch
jackyzha0/Speech2Braille
[๐ Silver Medal at CWSF] Tensorflow Implementation of TIMIT Deep BLSTM-CTC with Tensorboard Support
HanSeokhyeon/Speech_recognition_for_English_and_Korean
๋ค์ํ feature๋ฅผ ์ด์ฉํ ์์ฑ์ธ์ LAS model์ ๋๋ค. (ํ๊ตญ์ด๋ ๊ฐ๋ฐ์์ )
BradleyHe/TIMIT-Alignment
TIMIT forced alignment with the Montreal Forced Aligner
BradleyHe/TIMIT-Phoneme-Mixer
Python project that mixes phonemes from the TIMIT dataset
hammaad2002/SimpleASRmodel
A simple CRDNN based ASR model for my own understanding of how ASR works and are trained. (Work in progress) If anyone finds any error or have any suggestion please do let me know.
kipmccharen/sys6016_DL_project
pretrained SpeechBrain wav2vec seq2seq+CTC model trained on TIMIT dataset. Created by Kip McCharen, Siddharth Surapaneni, and Pavan Bondalapati
BradleyHe/TIMIT-Voice-Mixer
Python project which mixes and tests sentences from the TIMIT dataset using LAS
freha-mezzoudj/Magister_works1
My magister (Bac+5+2) topic is about the Timit phonems multi_classification using GA and SVM. My works are presented here to help the research community, thanks !
benivalotker/benchmarking_and_profiling
simple use for benchmarking and profiling module