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Convention Paper

A Perceptual Model-Based Speech Enhancement Algorithm

Authors: Yu, Rongshan

AES Convention 125 · Paper 7646 · October 2008

Abstract

This paper presents a perceptual model based speech enhancement algorithm. The proposed algorithm measures the amount of the audible noise in the input noisy speech explicitly by using a psychoacoustic model, and decides an appropriate amount of noise reduction accordingly to achieve good noise level reduction without introducing significant distortion to the clean speech embedded in the input noisy signal. The proposed algorithm also mitigates the musical noise problem commonly encountered in conventional speech enhancement algorithms by having the amount of noise reduction adapt to the instantly estimated noise amplitude. Good performance of the proposed algorithm has been confirmed through objective and subjective tests.

Details

Published in
AES Convention 125
AES Convention
125
Paper number
7646
Publication date
October 6, 2008
Session subject
Audio Digital Signal Processing and Effects
Affiliation
Dolby Laboratories (See document for exact affiliation information.)
Type
Convention Paper