Publication detail
Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems
KARAFIÁT, M. BASKAR, M. WATANABE, S. HORI, T. WIESNER, M. ČERNOCKÝ, J.
Original Title
Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems
Type
conference paper
Language
English
Original Abstract
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.
Keywords
multilingual ASR, sequence-to-sequence,language-transfer, multilingual bottle-neck feature
Authors
KARAFIÁT, M.; BASKAR, M.; WATANABE, S.; HORI, T.; WIESNER, M.; ČERNOCKÝ, J.
Released
15. 9. 2019
Publisher
International Speech Communication Association
Location
Graz
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Year of study
2019
Number
9
State
French Republic
Pages from
2220
Pages to
2224
Pages count
5
URL
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"
}Documents