Self-Learning Speaker Identification: A System for Enhanced Speech Recognition

Content Provider	Springer-eBooks
Author	Herbig, Tobias Gerl, Franz Minker, Wolfgang
Copyright Year	2011
Abstract	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.
File Format	PDF
ISBN	9783642198991
Language	English
Publisher	SpringerLink Springer eBooks
Access Restriction	Subscribed
Subject Keyword	Engineering Signal, Image and Speech Processing Biometrics Communications Engineering, Networks User Interfaces and Human Computer Interaction
Content Type	Text
Resource Type	Book