Performance analysis of various single channel speech enhancement algorithms for automatic speech recognition

Author(s):  
Myung-Suk Song ◽  
Chang-Heon Lee ◽  
Hong-Goo Kang
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.


2012 ◽  
Vol 5 (4) ◽  
pp. 426-441 ◽  
Author(s):  
Joyner Cadore ◽  
Francisco J. Valverde-Albacete ◽  
Ascensión Gallardo-Antolín ◽  
Carmen Peláez-Moreno

SpringerPlus ◽  
2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Hazrat Ali ◽  
Nasir Ahmad ◽  
Xianwei Zhou ◽  
Khalid Iqbal ◽  
Sahibzada Muhammad Ali

2015 ◽  
Vol 23 (11) ◽  
pp. 1788-1799 ◽  
Author(s):  
Deepak Baby ◽  
Tuomas Virtanen ◽  
Jort F. Gemmeke ◽  
Hugo Van hamme

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