Massively multilingual adversarial speech recognition

Oliver Adams; Matthew Wiesner; Shinji Watanabe; David Yarowsky

Massively multilingual adversarial speech recognition

Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky

研究成果: Conference contribution

抄録

We report on adaptation of multilingual end-to-end speech recognition models trained on as many as 100 languages. Our findings shed light on the relative importance of similarity between the target and pretraining languages along the dimensions of phonetics, phonology, language family, geographical location, and orthography. In this context, experiments demonstrate the effectiveness of two additional pretraining objectives in encouraging language-independent encoder representations: a context-independent phoneme objective paired with a language-adversarial classification objective.

本文言語	English
ホスト出版物のタイトル	Long and Short Papers
出版社	Association for Computational Linguistics (ACL)
ページ	96-108
ページ数	13
ISBN（電子版）	9781950737130
出版ステータス	Published - 2019
外部発表	はい
イベント	2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019 - Minneapolis, United States 継続期間: 2019 6月 2 → 2019 6月 7

出版物シリーズ

名前	NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference
巻	1

Conference

Conference	2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019
国/地域	United States
City	Minneapolis
Period	19/6/2 → 19/6/7

ASJC Scopus subject areas

言語および言語学
コンピュータサイエンスの応用
言語学および言語

他のファイルとリンク

引用スタイル

Adams, O., Wiesner, M., Watanabe, S., & Yarowsky, D. (2019). Massively multilingual adversarial speech recognition. In Long and Short Papers (pp. 96-108). (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL).

Massively multilingual adversarial speech recognition. / Adams, Oliver; Wiesner, Matthew; Watanabe, Shinji その他.
Long and Short Papers. Association for Computational Linguistics (ACL), 2019. p. 96-108 (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; Vol. 1).

研究成果: Conference contribution

Adams, O, Wiesner, M, Watanabe, S & Yarowsky, D 2019, Massively multilingual adversarial speech recognition. in Long and Short Papers. NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, vol. 1, Association for Computational Linguistics (ACL), pp. 96-108, 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019, Minneapolis, United States, 19/6/2.

Adams, Oliver ; Wiesner, Matthew ; Watanabe, Shinji その他. / Massively multilingual adversarial speech recognition. Long and Short Papers. Association for Computational Linguistics (ACL), 2019. pp. 96-108 (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference).

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Massively multilingual adversarial speech recognition

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

他のファイルとリンク

フィンガープリント

引用スタイル