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Monaural room acoustic parameters from music and speech

Kendrick, P, Cox, TJ, Li, FF, Zhang, Y and Chambers, JA 2008, 'Monaural room acoustic parameters from music and speech' , Journal of the Acoustical Society of America, 124 (1) , pp. 278-287.

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    Abstract

    This paper compares two methods for extracting room acoustic parameters from reverberated speech and music. An approach which uses statistical machine learning, previously developed for speech, is extended to work with music. For speech, reverberation time estimations are within a perceptual difference limen of the true value. For music, virtually all early decay time estimations are within a difference limen of the true value. The estimation accuracy is not good enough in other cases due to differences between the simulated data set used to develop the empirical model and real rooms. The second method carries out a maximum likelihood estimation on decay phases at the end of notes or speech utterances. This paper extends the method to estimate parameters relating to the balance of early and late energies in the impulse response. For reverberation time and speech, the method provides estimations which are within the perceptual difference limen of the true value. For other parameters such as clarity, the estimations are not sufficiently accurate due to the natural reverberance of the excitation signals. Speech is a better test signal than music because of the greater periods of silence in the signal, although music is needed for low frequency measurement. (c) 2008 Acoustical Society of America.

    Item Type: Article
    Themes: Built and Human Environment
    Schools: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Acoustics Research Centre
    Journal or Publication Title: Journal of the Acoustical Society of America
    Publisher: Acoustical Society of America
    Refereed: Yes
    ISSN: 0001-4966
    Funders: Engineering and Physical Sciences Research Council (EPSRC)
    Depositing User: TJ Cox
    Date Deposited: 20 Oct 2011 15:26
    Last Modified: 22 Jul 2014 12:11
    URI: http://usir.salford.ac.uk/id/eprint/18562

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