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Voice activity detection using a periodicity measure

Voice activity detection using a periodicity measure

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The paper describes a voice activity detector (VAD) that can operate reliably in SNRs down to 0 dB and detect most speech at −5 dB. The detector applies a least-squares periodicity estimator to the input signal, and triggers when a significant amount of periodicity is found. It does not aim to find the exact talkspurt boundaries and, consequently, is most suited to speech-logging applications where it is easy to include a small margin to allow for any missed speech. The paper discusses the problem of false triggering on nonspeech periodic signals and shows how robustness to these signals can be achieved with suitable preprocessing and postprocessing.

References

    1. 1)
      • K. Bullington , J.M. Fraser . Engineering aspects of TASI. Bell Syst. Tech. J. , 353 - 364
    2. 2)
      • Kobatake, H., Tawa, K., Ishida, A.: `Speech/nonspeech discrimination for speech recognition system under real life noise environments', S7.5, ICASSP '89, 1, p. 365–368.
    3. 3)
      • Freeman, D.K., Cosier, G., Southcott, C.B., Boyd, I.: `The voice activity detector for the Pan-European digital cellular mobile telephone service', S7.6, ICASSP '89, 1, p. 369–372.
    4. 4)
      • Irwin, M.J.: `Periodicity estimation in the presence of noise', Inst. Acoust. Conf. '79, 1980, Windemere United Kingdom, JSRU Report 1009.
    5. 5)
      • D.H. Friedmann . Pseudo-maximum-likelihood speech pitch extraction. IEEE Trans. , 3 , 213 - 221
    6. 6)
      • M.J. Irwin , S.J. Harborne , A.W. Allan . (1981) Automatic speech-signal quality estimation, JSRU Technical Memorandum T6/1/81.
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