Speaker Dependent Speech Enhancement Using Sinusoidal Model

TitleSpeaker Dependent Speech Enhancement Using Sinusoidal Model
Publication TypeConference Proceedings
Year of Publication2014
AuthorsMowlaee, P., & Nachbar C.
Conference NameThe International Workshop on Acoustic Signal Enhancement (IWAENC 2014)

In many conventional speech enhancement methods, discrete Fourier transformation is used in analysis, modification, and synthesis stages without incorporating a signal-dependent model or the prior knowledge about the underlying speaker characteristics. In this work, we integrate a sinusoidal model as speech signal model and further include speaker information captured in a trained speaker model in the form of a sinusoidal coder. We design a postfilter as a post processor after a conventional speech enhancement stage. We show that the proposed method significantly improves the perceived quality in particular for non-stationary noise and low signal-to-noise ratio scenar-ios. The improved performance predicted by instrumental metrics is further justified by subjective listening tests.


Citation Key2983
Refereed DesignationRefereed
IWAENC2014_Matlab.rar33.05 KB