16th Annual Conference of the International Speech Communication Association

Dresden, Germany
September 6-10, 2015

Enhancement of Non-Stationary Speech Using Harmonic Chirp Filters

Sidsel Marie Nørholm, Jesper Rindom Jensen, Mads Græsbøll Christensen

Aalborg University, Denmark

In this paper, the issue of single channel speech enhancement of non-stationary voiced speech is addressed. The non-stationarity of speech is well known, but state of the art speech enhancement methods assume stationarity within frames of 20-30 ms. We derive optimal distortionless filters that take the non-stationarity nature of voiced speech into account via linear constraints. This is facilitated by imposing a harmonic chirp model on the speech signal. As an implicit part of the filter design, the noise statistics are also estimated based on the observed signal and parameters of the harmonic chirp model. Simulations on real speech show that the chirp based filters perform better than their harmonic counterparts. Further, it is seen that the gain of using the chirp model increases when the estimated chirp parameter is big corresponding to periods in the signal where the instantaneous fundamental frequency changes fast.

Full Paper

Bibliographic reference.  Nørholm, Sidsel Marie / Jensen, Jesper Rindom / Christensen, Mads Græsbøll (2015): "Enhancement of non-stationary speech using harmonic chirp filters", In INTERSPEECH-2015, 1755-1759.