Title
A noise reduction preprocessor for mobile voice communication
Abstract
We describe a speech enhancement algorithm which leads to significant quality and intelligibility improvements when used as a preprocessor to a low bit rate speech coder. This algorithm was developed in conjunction with the mixed excitation linear prediction (MELP) coder which, by itself, is highly susceptible to environmental noise. The paper presents novel as well as known speech and noise estimation techniques and combines them into a highly effective speech enhancement system. The algorithm is based on short-time spectral amplitude estimation, soft-decision gain modification, tracking of the a priori probability of speech absence, and minimum statistics noise power estimation. Special emphasis is placed on enhancing the performance of the preprocessor in nonstationary noise environments.
Year
DOI
Venue
2004
10.1155/S1110865704312138
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
intelligibility improvement,noise reduction preprocessor,environmental noise,minimum statistics noise power,low bit rate speech,effective speech enhancement system,mobile voice communication,short-time spectral amplitude estimation,speech absence,noise estimation technique,nonstationary noise environment,speech enhancement algorithm,noise reduction,speech coding
Speech enhancement,Speech processing,Mixed-excitation linear prediction,Speech coding,Voice activity detection,Computer science,Speech recognition,Codec2,Linear predictive coding,Intelligibility (communication)
Journal
Volume
Issue
ISSN
2004,
8
1687-6180
Citations 
PageRank 
References 
5
0.63
16
Authors
4
Name
Order
Citations
PageRank
Rainer Martin1102991.14
David Malah221960.95
Richard V. Cox39458.12
anthony j accardi4282.83