[🏆 Silver Medal at CWSF] Tensorflow Implementation of TIMIT Deep BLSTM-CTC with Tensorboard Support
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Updated
Mar 19, 2019 - Python
[🏆 Silver Medal at CWSF] Tensorflow Implementation of TIMIT Deep BLSTM-CTC with Tensorboard Support
Python project which mixes and tests sentences from the TIMIT dataset using LAS
simple use for benchmarking and profiling module
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.
Extract mfcc vectors and phones from TIMIT dataset
A toolkit providing deep learning based audio recognition algorithm powered by Mxnet Gluon. Now only Text-Independent Speaker Recognition is implemented.
pretrained SpeechBrain wav2vec seq2seq+CTC model trained on TIMIT dataset. Created by Kip McCharen, Siddharth Surapaneni, and Pavan Bondalapati
Sum-Product Networks (SPNs) for Robust Automatic Speaker Identification.
Implementation of WaveNet network based on Tensorflow.
Implementation of the paper "Listen, Attend and Spell" Paper in Pytorch
Python/numpy/pandas convenience wrapper for the TIMIT database.
Pytorch based phoneme recognition (TIMIT phoneme classification)
Attention-based end-to-end ASR on TIMIT in PyTorch
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