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PULUGUNDLA, B.; BASKAR, M.; KESIRAJU, S.; EGOROVA, E.; KARAFIÁT, M.; BURGET, L.; ČERNOCKÝ, J.
Original Title
BUT system for low resource Indian language ASR
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
This paper describes the BUT Jilebi teams speech recognitionsystems created for the 2018 low resource speech recognitionchallenge for Indian languages. We investigate modifications ofmultilingual time-delay neural network (TDNN) architectureswith transfer learning and compare them to bi-directionalresidual memory networks (BRMN) and bi-directional LSTM.Our best submission based on system combination achievedword error rates of 13.92% (Tamil), 14.71% (Telugu) and14.06% (Gujarati). We present the details of submitted systemsand also the post-evaluation analysis done for lexicon discoveryusing unsupervised word segmentation.
English abstract
Keywords
Indian languages, low resource ASR, multilingual, LF-MMI
Key words in English
Authors
RIV year
2019
Released
02.09.2018
Publisher
International Speech Communication Association
Location
Hyderabad
Book
Proceedings of Interspeech 2018
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Volume
2018
Number
9
State
French Republic
Pages from
3182
Pages to
3186
Pages count
5
URL
https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1302.html
BibTex
@inproceedings{BUT155101, author="Bhargav {Pulugundla} and Murali Karthick {Baskar} and Santosh {Kesiraju} and Ekaterina {Egorova} and Martin {Karafiát} and Lukáš {Burget} and Jan {Černocký}", title="BUT system for low resource Indian language ASR", booktitle="Proceedings of Interspeech 2018", year="2018", journal="Proceedings of Interspeech", volume="2018", number="9", pages="3182--3186", publisher="International Speech Communication Association", address="Hyderabad", doi="10.21437/Interspeech.2018-1302", issn="1990-9772", url="https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1302.html" }
Documents
pulugundla_interspeech2018_