A directionally tunable but frequency-invariant beamformer on an acoustic velocity-sensor triad to enhance speech perception

Yue Ivan Wu, Kainam Thomas Wong, Xin Yuan, Siu Kit Lau, Shiu Keung Tang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)

Abstract

Herein investigated are computationally simple microphone-array beamformers that are independent of the frequency-spectra of all signals, all interference, and all noises. These beamformers allow the listener to tune the desired azimuth-elevation "look direction." No prior information is needed of the interference. These beamformers deploy a physically compact triad of three collocated but orthogonally oriented velocity sensors. These proposed schemes' efficacy is verified by a jury test, using simulated data constructed with Mandarin Chinese (a.k.a. Putonghua) speech samples. For example, a desired speech signal, originally at a very adverse signal-to-interference-and-noise power ratio (SINR) of -30 dB, may be processed to become fully intelligible to the jury.
Original languageEnglish
Pages (from-to)3891-3902
Number of pages12
JournalJournal of the Acoustical Society of America
Volume131
Issue number5
DOIs
Publication statusPublished - 1 May 2012

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics

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