Shanker, M Ravi and Muralishankar, R and Ramakrishnan, AG (2007) Bauer Method of MVDR Spectral Factorization for Pitch Modification in the Source Domain. In: IEEE Workshop on Applications of Signal Processing to Audio and Acoutics, OCT 21-24, 2007, New Paltz, NY, USA.
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In our earlier work , we employed MVDR (minimum variance distortionless response) based spectral estimation instead of modified-linear prediction method  in pitch modification. Here, we use the Bauer method of MVDR spectral factorization, leading to a causal inverse filter rather than a noncausal filter setup with MVDR spectral estimation . Further, this is employed to obtain source (or residual) signal from pitch synchronous speech frames. The residual signal is resampled using DCT/IDCT depending on the target pitch scale factor. Finally, forward filters realized from the above factorization are used to get pitch modified speech. The modified speech is evaluated subjectively by 10 listeners and mean opinion scores (MOS) are tabulated. Further, modified bark spectral distortion measure is also computed for objective evaluation of performance. We find that the proposed algorithm performs better compared to time domain pitch synchronous overlap  and modified-LP method . A good MOS score is achieved with the proposed algorithm compared to  with a causal inverse and forward filter setup.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||11 Mar 2010 06:56|
|Last Modified:||19 Sep 2010 05:56|
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