Detail publikace

BUT system for low resource Indian language ASR

PULUGUNDLA, B. BASKAR, M. KESIRAJU, S. EGOROVA, E. KARAFIÁT, M. BURGET, L. ČERNOCKÝ, J.

Originální název

BUT system for low resource Indian language ASR

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Indian languages, low resource ASR, multilingual, LF-MMI

Autoři

PULUGUNDLA, B.; BASKAR, M.; KESIRAJU, S.; EGOROVA, E.; KARAFIÁT, M.; BURGET, L.; ČERNOCKÝ, J.

Vydáno

2. 9. 2018

Nakladatel

International Speech Communication Association

Místo

Hyderabad

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

2018

Číslo

9

Stát

Francouzská republika

Strany od

3182

Strany do

3186

Strany počet

5

URL

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"
}

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