The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.
tools around preparing TIMIT for HMM (with HTK) and deep learning (with Theano) methods
CTC end -to-end ASR for timit and 863 corpus.
Speech recognition on the TIMIT (or any other) dataset
Develop speaker recognition model based on i-vector using TIMIT database
Theano implementation of CTC. Applied on TIMIT and a Toy dataset.
This is a working example of using CTC for phone recognition on TIMIT
Pytorch based phoneme recognition (TIMIT phoneme classification)
Code for phonetically classifying TIMIT using TensorFlow
Extract mfcc vectors and phones from TIMIT dataset
Python/numpy/pandas convenience wrapper for the TIMIT database.
pre-process script for timit data for dnn-aec works
Attention-based end-to-end ASR on TIMIT in PyTorch
Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
Neural network-based speech transcription model. Built with Keras (Python) and trained with TIMIT.
python code for converting among IPA, ARPABET, XSAMPA, Callhome, DISC, TIMIT, plus some lexical tones.
整合了说话人识别和语音分离的数据集预处理，模型加载交互（基于TIMIT数据集）