Performance estimation of noisy speech recognition considering recognition task complexity

Takeshi Yamada*, Tomohiro Nakajima, Nobuhiko Kitawaki, Shoji Makino

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

To ensure a satisfactory QoE (Quality of Experience) and facilitate system design in speech recognition services, it is essential to establish a method that can be used to efficiently investigate recognition performance in different noise environments. Previously, we proposed a performance estimation method using a spectral distortion measure. However, there is the problem that recognition task complexity affects the relationship between the recognition performance and the distortion value. To solve this problem, this paper proposes a novel performance estimation method considering the recognition task complexity. We confirmed that the proposed method gives accurate estimates of the recognition performance for various recognition tasks by an experiment using noisy speech data recorded in a real room.

本文言語English
ホスト出版物のタイトルProceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010
出版社International Speech Communication Association
ページ2042-2045
ページ数4
出版ステータスPublished - 2010
外部発表はい

出版物シリーズ

名前Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

ASJC Scopus subject areas

  • 言語および言語学
  • 言語聴覚療法

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