Publication detail
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
BASKAR, M. WATANABE, S. ASTUDILLO, R. HORI, T. BURGET, L. ČERNOCKÝ, J.
Original Title
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
Type
conference paper
Language
English
Original Abstract
Sequence-to-sequence automatic speech recognition (ASR)models require large quantities of data to attain highperformance. For this reason, there has been a recent surgein interest for unsupervised and semi-supervised training insuch models. This work builds upon recent results showingnotable improvements in semi-supervised training usingcycle-consistency and related techniques. Such techniquesderive training procedures and losses able to leverage unpairedspeech and/or text data by combining ASR with Text-to-Speech(TTS) models. In particular, this work proposes a newsemi-supervised loss combining an end-to-end differentiableASR!TTS loss with TTS!ASR loss. The method is ableto leverage both unpaired speech and text data to outperformrecently proposed related techniques in terms of %WER. Weprovide extensive results analyzing the impact of data quantityand speech and text modalities and show consistent gains acrossWSJ and Librispeech corpora. Our code is provided in ESPnetto reproduce the experiments.
Keywords
Sequence-to-sequence, end-to-end, ASR, TTS,semi-supervised, unsupervised, cycle consistency
Authors
BASKAR, M.; WATANABE, S.; ASTUDILLO, R.; HORI, T.; BURGET, L.; 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
3790
Pages to
3794
Pages count
5
URL
BibTex
@inproceedings{BUT159996,
author="BASKAR, M. and WATANABE, S. and ASTUDILLO, R. and HORI, T. and BURGET, L. and ČERNOCKÝ, J.",
title="Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text",
booktitle="Proceedings of Interspeech",
year="2019",
journal="Proceedings of Interspeech",
volume="2019",
number="9",
pages="3790--3794",
publisher="International Speech Communication Association",
address="Graz",
doi="10.21437/Interspeech.2019-3167",
issn="1990-9772",
url="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/3167.pdf"
}
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