Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions (Hannun et al., 2019)
The architecture and flags files are provided to reproduce results from the paper (training and decoding steps). Considered benchmarks:
- Librispeech
@article{DBLP:journals/corr/abs-1904-02619,
author = {Awni Hannun and
Ann Lee and
Qiantong Xu and
Ronan Collobert},
title = {Sequence-to-Sequence Speech Recognition with Time-Depth Separable
Convolutions},
journal = {CoRR},
volume = {abs/1904.02619},
year = {2019},
url = {http://arxiv.org/abs/1904.02619},
archivePrefix = {arXiv},
eprint = {1904.02619},
timestamp = {Wed, 24 Apr 2019 12:21:25 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1904-02619},
bibsource = {dblp computer science bibliography, https://dblp.org}
}