Title :
Multiband Excitation for Speech Enhancement
Author :
Charoenruengkit, Werayuth ; Erdol, Nurgun
Abstract :
The speech enhancement algorithm proposed aims to improve the quality of denoised speech by introducing voicing information to a Wiener-type spectral amplitude gain function. A constrained multiband excitation (MBE) model is used to emphasize harmonic components of the glottal input; and a low variance and bias autoregressive multitaper (ARMT) estimate models the vocal tract. Objective and subjective evaluations show improvement over unconstrained models and those using high variance spectrum estimators.
Keywords :
speech enhancement; Wiener-type spectral amplitude gain function; bias autoregressive multitaper estimate models; constrained multiband excitation model; harmonic components; speech enhancement algorithm; variance spectrum estimators; vocal tract; Background noise; Cepstral analysis; Frequency estimation; Noise reduction; Power harmonic filters; Signal processing; Signal to noise ratio; Speech analysis; Speech enhancement; Speech processing; Spectral estimation; Speech communication; Speech enhancement; Speech processing;
Conference_Titel :
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location :
Marco Island, FL
Print_ISBN :
978-1-4244-3677-4
Electronic_ISBN :
978-1-4244-3677-4
DOI :
10.1109/DSP.2009.4785887
