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

• Kitaoka Norihide

  Nagoya University

• Yamada Takeshi

  University of Tsukuba

• Tsuge Satoru

  The University of Tokushima

• Miyajima Chiyomi

  Nagoya University

• Yamamoto Kazumasa

  Toyohashi University of Technology

• Nishiura Takanobu

  Ritsumeikan University

• Nakayama Masato

  Ritsumeikan University

• Denda Yuki

  Ritsumeikan University

• Fujimoto Masakiyo

  NTT Communication Science Laboratories, NTT Corporation, “Keihanna Science City,”

• Takiguchi Tetsuya

  Kobe University

• Tamura Satoshi

  Gifu University

• Matsuda Shigeki

  ATR Spoken Language Communication Research Labs. and National Institute of Information and Communications Technology, “Keihanna Science City,”

• Ogawa Tetsuji

  Waseda University

• Kuroiwa Shingo

  Chiba University and National Institute of Information and Communications Technology

• Takeda Kazuya

  Nagoya University

• Nakamura Satoshi

  National Institute of Information and Communications Technology, “Keihanna Science City,”

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.

Journal

• Acoustical Science and Technology

  Acoustical Science and Technology 30 (5), 363-371, 2009

  ACOUSTICAL SOCIETY OF JAPAN

Keywords

• Voice activity detection
• Noisy speech processing
• Evaluation framework

Details

• CRID: 1390282680065097472
• NII Article ID: 10025992968
• NII Book ID: AA11501808
• DOI: 10.1250/ast.30.363
• ISSN: 13475177
• ISSN: 03694232
• ISSN: 13463969
• NDL BIB ID: 10333886
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10333886
• Web Site: http://www.jstage.jst.go.jp/article/ast/30/5/30_5_363/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed