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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