XenderLiu/Listen-Attend-and-Spell-Pytorch

This is a PyTorch implementation of Listen, Attend and Spell (LAS) published in ICASSP 2016 (Student Paper Award). Please feel free to use/modify them, any bug report or improvement suggestion will be appreciated. This implement achieves about 34% phoneme error rate on TIMIT's testing set (using original setting in the paper without hyper parameter tuning, models are stored in checkpoint/). It's not a remarkable score but please notice that deep end2end ASR without special designed loss function such as LAS requires larger corpus to achieve outstanding performance. Result of the first sample in TIMIT testing set.