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.
Comparative evaluation of single-channel MMSE based noise reduction schemes for speech recognition / Principi, Emanuele; S., Cifani; Rotili, Rudy; Squartini, Stefano; Piazza, Francesco. - In: JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING. - ISSN 2090-0147. - (2010). [10.1155/2010/962103]
Comparative evaluation of single-channel MMSE based noise reduction schemes for speech recognition
PRINCIPI, EMANUELE;ROTILI, RUDY;SQUARTINI, Stefano;PIAZZA, Francesco
2010-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.