CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments
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- Kitaoka Norihide
- Nagoya University
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- Yamada Takeshi
- University of Tsukuba
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- Tsuge Satoru
- The University of Tokushima
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- Miyajima Chiyomi
- Nagoya University
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- Yamamoto Kazumasa
- Toyohashi University of Technology
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- Nishiura Takanobu
- Ritsumeikan University
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- Nakayama Masato
- Ritsumeikan University
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- Denda Yuki
- Ritsumeikan University
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- Fujimoto Masakiyo
- NTT Communication Science Laboratories, NTT Corporation, “Keihanna Science City,”
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- Takiguchi Tetsuya
- Kobe University
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- Tamura Satoshi
- Gifu University
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- Matsuda Shigeki
- ATR Spoken Language Communication Research Labs. and National Institute of Information and Communications Technology, “Keihanna Science City,”
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- Ogawa Tetsuji
- Waseda University
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- Kuroiwa Shingo
- Chiba University and National Institute of Information and Communications Technology
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- Takeda Kazuya
- Nagoya University
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- Nakamura Satoshi
- National Institute of Information and Communications Technology, “Keihanna Science City,”
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抄録
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.
収録刊行物
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- Acoustical Science and Technology
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Acoustical Science and Technology 30 (5), 363-371, 2009
一般社団法人 日本音響学会
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詳細情報
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- CRID
- 1390282680065097472
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- NII論文ID
- 10025992968
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- NII書誌ID
- AA11501808
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- ISSN
- 13475177
- 03694232
- 13463969
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- NDL書誌ID
- 10333886
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可