Negentropy based voice-activity detection for noise estimation in very low SNR condition

• Prasad Rajkishore

  Graduate School of Information Science, Nara Institute of Science and Technology

• Saruwatari Hiroshi

  Graduate School of Information Science, Nara Institute of Science and Technology

• Shikano Kiyohiro

  Graduate School of Information Science, Nara Institute of Science and Technology

Abstract

The spectral organization in a noisy speech is different during noise-only portions and speech portions. Such chaotic difference can be tracked by using negentropy as a measure. Accordingly, a Voice Activity Detector (VAD) based on the negentropy measure of magnitude of spectral components of the pseudo-stationary segments of speech is proposed and has been used for the estimation of noise statistics from the noisy speech signal in very low SNR conditions. The results show the effectiveness and usefulness of the proposed method under very noisy conditions.

Journal

• IEICE Electronics Express

  IEICE Electronics Express 1 (16), 495-500, 2004

  The Institute of Electronics, Information and Communication Engineers

Keywords

• Negentropy
• VAD
• Generalized Gaussian distribution
• noise

Details

• CRID: 1390282680191049728
• NII Article ID: 130000087992
• DOI: 10.1587/elex.1.495
• ISSN: 13492543
• HANDLE: 10061/7792
• Web Site: https://naist.repo.nii.ac.jp/records/3800
• Web Site: http://www.jstage.jst.go.jp/article/elex/1/16/1_16_495/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • IRDB
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed