Automatic speech recognition and intrinsic speech variation

BenZeghiba, Mohamed Faouzi;De Mori, Renato;Deroo, Olivier; Dupont, Stéphane;Erbes, Teodora;Jouvet, Denis; Fissore, Luciano;Laface, Pietro;Mertins, Alfred;Ris, Christophe;Rose, Richard; Tyagi,Vivek;Wellekens, Christian J
ICASSP 2006, 31st International Conference on Acoustics, Speech, and Signal Processing, May 14-19, 2006, Toulouse, France

This paper briefly reviews state of the art related to the topic of speech variability sources in automatic speech recognition systems. It focuses on some variations within the speech signal that make the ASR task difficult. The variations detailed in the paper are intrinsic to the speech and affect the different levels of the ASR processing chain. For different sources of speech variation, the paper summarizes the current knowledge and highlights specific feature extraction or modeling weaknesses and current trends.


DOI
HAL
Type:
Conference
City:
Toulouse
Date:
2006-05-14
Department:
Digital Security
Eurecom Ref:
1903
Copyright:
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PERMALINK : https://www.eurecom.fr/publication/1903