Detail publikace

Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text

BASKAR, M. WATANABE, S. ASTUDILLO, R. HORI, T. BURGET, L. ČERNOCKÝ, J.

Originální název

Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Sequence-to-sequence automatic speech recognition (ASR) models require large quantities of data to attain high performance. For this reason, there has been a recent surge in interest for unsupervised and semi-supervised training in such models. This work builds upon recent results showing notable improvements in semi-supervised training using cycle-consistency and related techniques. Such techniques derive training procedures and losses able to leverage unpaired speech and/or text data by combining ASR with Text-to-Speech (TTS) models. In particular, this work proposes a new semi-supervised loss combining an end-to-end differentiable ASR!TTS loss with TTS!ASR loss. The method is able to leverage both unpaired speech and text data to outperform recently proposed related techniques in terms of %WER. We provide extensive results analyzing the impact of data quantity and speech and text modalities and show consistent gains across WSJ and Librispeech corpora. Our code is provided in ESPnet to reproduce the experiments.

Klíčová slova

Sequence-to-sequence, end-to-end, ASR, TTS, semi-supervised, unsupervised, cycle consistency

Autoři

BASKAR, M.; WATANABE, S.; ASTUDILLO, R.; HORI, T.; BURGET, L.; 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

3790

Strany do

3794

Strany počet

5

URL

https://www.isca-speech.org/archive/Interspeech_2019/pdfs/3167.pdf

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"
}