Noise Reduction in Whisper Speech Based On the Auditory Masking Model

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Zhi Tao, Xiao-Jun Zhang, He-Ming Zhao, Wlodek Kulesza
Title: Noise Reduction in Whisper Speech Based On the Auditory Masking Model
Conference name: International Conference on Information, Networking and Automation, ICINA
Year: 2010
Pagination: V2-272
ISBN: 978-1-4244-8104-0
Publisher: IEEE
City: Kunming
URI/DOI: 10.1109/ICINA.2010.5636688
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Mechanical Engineering (Sektionen för ingenjörsvetenskap - avd. för maskinteknik)
School of Engineering S- 371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/ing/
Authors e-mail: wlodek.kulesza@bth.se
Language: English
Abstract: This paper presents the issue of whispered speech
enhancement. Based on multi-band spectral subtraction
method where the introduced musical residual noise occurs,
the proposed approach performs parametric subtraction
according to the WSS (Whispered Sensitive Scale) method that is particular for whispered speech processing and auditory masking model. The algorithm is characterized by a tradeoff mechanism between the amount of the whispered speech distortion, noise reduction, and the level of musical residual noise, which are determined by appropriate adjusting the subtraction parameters. Compared with traditional subtractive-type algorithms, the proposed method results in a significant reduction of musical residual noise. Finally, objective and subjective evaluations are implemented illustrating the improvements over traditional subtractive-type algorithms.
Subject: Signal Processing\Speech Enhancement
Keywords: whispered speech properties, subtractive-fype algorithms, musical residual noise, Whispered Sensitive Scale, auditory masking
Note: Volume 2
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