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Paper Detail

Paper:	SS-5.1
Session:	Dealing with Intrinsic Speech Variabilities in ASR
Time:	Wednesday, May 17, 14:00 - 14:20
Presentation:	Special Session Lecture
Topic:	Special Sessions: Dealing with intrinsic speech variabilities in ASR
Title:	Automatic Speech Recognition and Intrinsic Speech Variation
Authors:	Mohamed Benzeguiba, Eurecom Institute, France; Renato De Mori, Université d'Avignon, France; Olivier Deroo, Acapela Group, Belgium; Stéphane Dupont, Multitel ASBL, Belgium; Teodora Erbes, Eurecom Institute, France; Denis Jouvet, France Télécom, France; Luciano Fissore, Loquendo, Italy; Pietro Laface, Politecnico di Torino, Italy; Alfred Mertins, Carl von Ossietzky Universitat Oldenburg, Germany; Christophe Ris, Multitel, Belgium; Richard Rose, McGill University, Canada; Vivek Tyagi, Christian Wellekens, Eurecom Institute, France
Abstract:	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.