Detail publikace

Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems

KARAFIÁT, M. BASKAR, M. WATANABE, S. HORI, T. WIESNER, M. ČERNOCKÝ, J.

Originální název

Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper investigates the applications of various multilingualapproaches developed in conventional deep neural network -hidden Markov model (DNN-HMM) systems to sequence-tosequence(seq2seq) automatic speech recognition (ASR). Weemploy a joint connectionist temporal classification-attentionnetwork as our base model. Our main contribution is separatedinto two parts. First, we investigate the effectiveness ofthe seq2seq model with stacked multilingual bottle-neck featuresobtained from a conventional DNN-HMM system on theBabel multilingual speech corpus. Second, we investigate theeffectiveness of transfer learning from a pre-trained multilingualseq2seq model with and without the target language includedin the original multilingual training data. In this experiment,we also explore various architectures and training strategiesof the multilingual seq2seq model by making use of knowledgeobtained in the DNN-HMM based transfer-learning. Althoughboth approaches significantly improved the performancefrom a monolingual seq2seq baseline, interestingly, we foundthe multilingual bottle-neck features to be superior to multilingualmodels with transfer learning. This finding suggests thatwe can efficiently combine the benefits of the DNN-HMM systemwith the seq2seq system through multilingual bottle-neckfeature techniques.

Klíčová slova

multilingual ASR, sequence-to-sequence,language-transfer, multilingual bottle-neck feature

Autoři

KARAFIÁT, M.; BASKAR, M.; WATANABE, S.; HORI, T.; WIESNER, M.; ČERNOCKÝ, J.

Vydáno

15. 9. 2019

Nakladatel

International Speech Communication Association

Místo

Graz

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

2019

Číslo

9

Stát

Francouzská republika

Strany od

2220

Strany do

2224

Strany počet

5

URL

https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2355.pdf

BibTex

@inproceedings{BUT159995,
  author="KARAFIÁT, M. and BASKAR, M. and WATANABE, S. and HORI, T. and WIESNER, M. and ČERNOCKÝ, J.",
  title="Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems",
  booktitle="Proceedings of Interspeech",
  year="2019",
  journal="Proceedings of Interspeech",
  volume="2019",
  number="9",
  pages="2220--2224",
  publisher="International Speech Communication Association",
  address="Graz",
  doi="10.21437/Interspeech.2019-2355",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2355.pdf"
}

Dokumenty

karafiat_is2019_192355.pdf