Noise reduction using a multimicrophone array for automatic speech recognition on a handheld computer

2004 ◽  
Vol 115 (5) ◽  
pp. 2578-2578
Author(s):  
Scott T. Shaw ◽  
Andrew J. LaRow ◽  
William E. Schoenborn ◽  
Jason Rodriguez ◽  
Gary L. Gibian
2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Emanuele Principi ◽  
Simone Cifani ◽  
Rudy Rotili ◽  
Stefano Squartini ◽  
Francesco Piazza

One of the big challenges in the field of Automatic Speech Recognition (ASR) consists in developing suitable solutions able to work properly also in adverse acoustic conditions, like in presence of additive noise and/or in reverberant rooms. Recently a certain attention has been paid to deeply integrate the noise suppressor in the feature extraction pipeline. In this paper, different single-channel MMSE-based noise reduction schemes have been implemented both in the frequency and cepstral domains and the related recognition performances evaluated on the AURORA2 and AURORA4 databases, therefore providing a useful reference for the scientific community.


Author(s):  
Peter A. Heeman ◽  
Rebecca Lunsford ◽  
Andy McMillin ◽  
J. Scott Yaruss

Author(s):  
Manoj Kumar ◽  
Daniel Bone ◽  
Kelly McWilliams ◽  
Shanna Williams ◽  
Thomas D. Lyon ◽  
...  

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