Performance of the pitch-scaled harmonic filter and applications in speech analysis
Jackson, PJB and Shadle, CH (2000) Performance of the pitch-scaled harmonic filter and applications in speech analysis In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000-06-05 - 2000-06-09, ISTANBUL, TURKEY.
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The pitch-scaled harmonic filter (PSHF) is a technique for decomposing speech signals into their voiced and unvoiced constituents. In this paper, we evaluate its ability to reconstruct the time series of the two components accurately using a variety of synthetic, speech-like signals, and discuss its performance. These results determine the degree of confidence that can be expected for real speech signals: typically, 5 dB improvement in the signal-to-noise ratio (HNR) in the anharmonic component. A selection of the analysis oportunities that the decomposition offers is demonstrated on speech recording, including dynamic HNR estimation and separate linear prediction analyses of the two components. These new capabilities provided by the PSHF can facilitate discovering previously hidden features and investigating interactions of unvoiced sources, such as friction, with voicing.
|Item Type:||Conference or Workshop Item (Conference Paper)|
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Depositing User :||Symplectic Elements|
|Date Deposited :||25 Nov 2011 13:17|
|Last Modified :||09 Jun 2014 13:23|
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