Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
A two-level drive – response model of non-stationary speech signals
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
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The focus of this work is to enhance speech degraded by added noise by exploiting the periodic nature of voiced speech. A modification of the adaptive comb filter (ACF) is employed for this purpose. Problems which may arise when using the periodicity of the speech for enhancement include significant distortion caused by comb filtering a time varying waveform (called temporal smearing) as well as the variation in pitch from period to period (called overload). It is shown that the dynamic time warping comb filter corrects for variations in the vocal tract as well as the variation in pitch by employing the concept of dynamic time warping. A computationally straightforward but suboptimal implementation to the time warping algorithm is used in order to improve the performance of the dynamic time warping comb filter algorithm. Performance is based on computational complexity, informal listening tests, and segmental SNR.