Exploring End-to-End Techniques for Low-Resource Speech Recognition-Reference-Cited by-同舟云学术

Exploring End-to-End Techniques for Low-Resource Speech Recognition

Published:2018 Issue: Volume: Page:32-41
ISSN:0302-9743
Container-title:Speech and Computer
language:
Short-container-title:

Author:

Bataev Vladimir,Korenevsky Maxim,Medennikov Ivan,Zatvornitskiy Alexander

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-99579-3_4

Reference25 articles.

1. CTC Decoder for PyTorch. https://github.com/parlance/ctcdecode

2. Kaldi Recipe Results for Turkish Language. https://github.com/kaldi-asr/kaldi/blob/master/egs/babel/s5d/results/results.105-turkish-fullLP.official.conf.jtrmal1%40jhu.edu.2015-11-28T144317-0500

3. Sclite Scoring Package. http://www1.icsi.berkeley.edu/Speech/docs/sctk-1.2/sclite.htm

4. The SRI Language Modeling Toolkit. http://www.speech.sri.com/projects/srilm/

5. Turkish Alphabet. https://en.wikipedia.org/wiki/Turkish_alphabet

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