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

2009; Acoustical Society of Japan; Volume: 30; Issue: 5 Linguagem: Inglês

10.1250/ast.30.363

2432-2040

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,

Blind Source Separation Techniques

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.