scholarly journals Front-end noise reduction algorithms for automatic speech recognition

2014 ◽  
Author(s):  
Peng Dai
Keyword(s):  
Speech Recognition ◽  
Noise Reduction ◽  
Automatic Speech Recognition ◽  
Front End

scholarly journals Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition

2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Emanuele Principi ◽  
Simone Cifani ◽  
Rudy Rotili ◽  
Stefano Squartini ◽  
Francesco Piazza
Keyword(s):  
Feature Extraction ◽  
Speech Recognition ◽  
Noise Reduction ◽  
Automatic Speech Recognition ◽  
Comparative Evaluation ◽  
Scientific Community ◽  
Additive Noise ◽  
Single Channel ◽  
Acoustic Conditions

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.

Multi-microphone noise reduction techniques as front-end devices for speech recognition

2001 ◽  
Vol 34 (1-2) ◽  
pp. 3-12 ◽  
Author(s):  
Joerg Bitzer ◽  
Klaus Uwe Simmer ◽  
Karl-Dirk Kammeyer
Keyword(s):  
Speech Recognition ◽  
Noise Reduction ◽  
Reduction Techniques ◽  
Front End

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
Keyword(s):  
Speech Recognition ◽  
Noise Reduction ◽  
Automatic Speech Recognition ◽  
Handheld Computer
Sign in / Sign up

Export Citation Format

Share Document