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The delta-phase spectrum with application to voice activity detection and speaker recognition

McCowan, Iain, Dean, David B., McLaren, Mitchell L., Vogt, Robert J., & Sridharan, Sridha (2011) The delta-phase spectrum with application to voice activity detection and speaker recognition. IEEE Transactions on Audio, Speech, and Language Processing, 19(7), pp. 2026-2038.

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Abstract

For several reasons, the Fourier phase domain is less favored than the magnitude domain in signal processing and modeling of speech. To correctly analyze the phase, several factors must be considered and compensated, including the effect of the step size, windowing function and other processing parameters. Building on a review of these factors, this paper investigates a spectral representation based on the Instantaneous Frequency Deviation, but in which the step size between processing frames is used in calculating phase changes, rather than the traditional single sample interval. Reflecting these longer intervals, the term delta-phase spectrum is used to distinguish this from instantaneous derivatives. Experiments show that mel-frequency cepstral coefficients features derived from the delta-phase spectrum (termed Mel-Frequency delta-phase features) can produce broadly similar performance to equivalent magnitude domain features for both voice activity detection and speaker recognition tasks. Further, it is shown that the fusion of the magnitude and phase representations yields performance benefits over either in isolation.

Impact and interest:

8 citations in Scopus
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4 citations in Web of Science®

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ID Code: 40163
Item Type: Journal Article
Keywords: phase, instantaneous frequency, speech analysis, voice activity detection, speaker recognition
DOI: 10.1109/TASL.2011.2109379
ISSN: 1558-7916
Subjects: Australian and New Zealand Standard Research Classification > LANGUAGES COMMUNICATION AND CULTURE (200000) > LINGUISTICS (200400) > Laboratory Phonetics and Speech Science (200404)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Funding:
  • ARC LINKAGE /LP0991238
Copyright Owner: Copyright 2011 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Deposited On: 17 Feb 2011 09:35
Last Modified: 19 Jun 2014 16:41

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