00000cmm a22000004a 4500 UP-99796217611212139 Buklod 20140424084749.0 m go j cr |nu|||auu|a 140424s2011 xx d u 9783642198991 (eBook) 3642198996 (eBook) (iLib)UPD-00214608309 DML eng DMLUC TK 7895 S65 H47 2011eb Herbig, Tobias Self-learning speaker identification [electronic resource] a system for enhanced speech recognition Tobias Herbig, Franz Gerl, and Wolfgang Minker. Berlin Springer 2011. 1 online resource (xii, 172 p.) ill. Signals and communication technology. Introduction -- State of the Art -- Fundamentals -- Speech Production -- Front-End -- Speaker Change -- Speaker Identification.-Speaker Adaptation. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. Current speech recognition systems suffer from variation of voice characteristics between speakers as they are usually based on speaker independent speech models. In order to resolve this issue, adaptation methods have been developed in many state-of-the-art systems. However, information acquired over time is still lost whenever another speaker intermittently uses the recognition system. This work therefore develops an integrated approach for speech and speaker recognition in order to improve the self-learning opportunities of the system. A speaker adaptation scheme is introduced. It is suited for fast short-term and detailed long-term adaptation. These adaptation profiles are then used for an efficient speaker recognition system. The speaker identification enables the speaker adaptation to track different speakers which results in an optimal long-term adaptation. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Automatic speech recognition. Electronic books. Gerl, Franz. Minker, Wolfgang. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-19899-1 FO Monograph UPD DMLR Electronic Resource