Model based binaural enhancement of voiced and unvoiced speech

Mathew Shaji Kavalekalam; Mads Græsbøll Christensen; Jesper Bünsow Boldt

ICASSP 2017accepted0 citations

Model based binaural enhancement of voiced and unvoiced speech

Mathew Shaji Kavalekalam, Mads Græsbøll Christensen, Jesper Bünsow Boldt

Abstract

This paper deals with the enhancement of speech in presence of non-stationary babble noise. A binaural speech enhancement framework is proposed which takes into account both the voiced and unvoiced speech production model. The usage of this model in enhancement requires the Short term predictor (STP) parameters and the pitch information to be estimated. This paper uses a codebook based approach for estimating the STP parameters and a parametric binaural method is proposed for estimating the pitch parameters. Improvements in objective score are shown when using the voiced-unvoiced speech model in comparison to the conventional unvoiced speech model.

BibTeX

@inproceedings{icassp2017_modelbasedbinaur,
  title = {Model based binaural enhancement of voiced and unvoiced speech},
  author = {Mathew Shaji Kavalekalam and Mads Græsbøll Christensen and Jesper Bünsow Boldt},
  booktitle = {ICASSP 2017},
  year = {2017}
}