CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments

Norihide Kitaoka; Takeshi Yamada; Satoru Tsuge; Chiyomi Miyajima; Kazumasa Yamamoto; Takanobu Nishiura; Masato Nakayama; Yuki Denda; Masakiyo Fujimoto; Tetsuya Takiguchi; Satoshi Tamura; Shigeki Matsuda; Tetsuji Ogawa; Shingo Kuroiwa; Kazuya Takeda; Satoshi Nakamura

doi:10.1250/ast.30.363

CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments

Norihide Kitaoka^*, Takeshi Yamada, Satoru Tsuge, Chiyomi Miyajima, Kazumasa Yamamoto, Takanobu Nishiura, Masato Nakayama, Yuki Denda, Masakiyo Fujimoto, Tetsuya Takiguchi, Satoshi Tamura, Shigeki Matsuda, Tetsuji Ogawa, Shingo Kuroiwa, Kazuya Takeda, Satoshi Nakamura

^*この研究の対応する著者

基幹理工学部

研究成果: Article › 査読

27 被引用数 (Scopus)

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Voice activity detection (VAD) plays an important role in speech processing including speech recognition, speech enhancement, and speech coding under noisy environments. We have developed an evaluation framework for VAD under noisy environments, named CENSREC-1-C. We designed this framework for simple isolated utterance detection and hence, this framework consists of noisy continuous digit utterances and evaluation tools for VAD results. We define two evaluation measures, one for frame-level detection performance and the other for utterance-level detection performance. We also provide the evaluation results of a power-based VAD method as a reference.

本文言語	English
ページ（範囲）	363-371
ページ数	9
ジャーナル	Acoustical Science and Technology
巻	30
号	5
DOI	https://doi.org/10.1250/ast.30.363
出版ステータス	Published - 2009

ASJC Scopus subject areas

音響学および超音波学

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Kitaoka, N., Yamada, T., Tsuge, S., Miyajima, C., Yamamoto, K., Nishiura, T., Nakayama, M., Denda, Y., Fujimoto, M., Takiguchi, T., Tamura, S., Matsuda, S., Ogawa, T., Kuroiwa, S., Takeda, K., & Nakamura, S. (2009). CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments. Acoustical Science and Technology, 30(5), 363-371. https://doi.org/10.1250/ast.30.363

Kitaoka, N, Yamada, T, Tsuge, S, Miyajima, C, Yamamoto, K, Nishiura, T, Nakayama, M, Denda, Y, Fujimoto, M, Takiguchi, T, Tamura, S, Matsuda, S, Ogawa, T, Kuroiwa, S, Takeda, K & Nakamura, S 2009, 'CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments', Acoustical Science and Technology, vol. 30, no. 5, pp. 363-371. https://doi.org/10.1250/ast.30.363

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abstract = "Voice activity detection (VAD) plays an important role in speech processing including speech recognition, speech enhancement, and speech coding under noisy environments. We have developed an evaluation framework for VAD under noisy environments, named CENSREC-1-C. We designed this framework for simple isolated utterance detection and hence, this framework consists of noisy continuous digit utterances and evaluation tools for VAD results. We define two evaluation measures, one for frame-level detection performance and the other for utterance-level detection performance. We also provide the evaluation results of a power-based VAD method as a reference.",

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AU - Kitaoka, Norihide

AU - Yamada, Takeshi

AU - Tsuge, Satoru

AU - Miyajima, Chiyomi

AU - Yamamoto, Kazumasa

AU - Nishiura, Takanobu

AU - Nakayama, Masato

AU - Denda, Yuki

AU - Fujimoto, Masakiyo

AU - Takiguchi, Tetsuya

AU - Tamura, Satoshi

AU - Matsuda, Shigeki

AU - Ogawa, Tetsuji

AU - Kuroiwa, Shingo

AU - Takeda, Kazuya

AU - Nakamura, Satoshi

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AB - Voice activity detection (VAD) plays an important role in speech processing including speech recognition, speech enhancement, and speech coding under noisy environments. We have developed an evaluation framework for VAD under noisy environments, named CENSREC-1-C. We designed this framework for simple isolated utterance detection and hence, this framework consists of noisy continuous digit utterances and evaluation tools for VAD results. We define two evaluation measures, one for frame-level detection performance and the other for utterance-level detection performance. We also provide the evaluation results of a power-based VAD method as a reference.

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CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments

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