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Self-Learning Speaker Identification

Self-Learning Speaker Identification A System for Enhanced Speech Recognition - Signals and Communication Technology

2011

Paperback (03 Aug 2013)

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Publisher's Synopsis

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities of the system. This work introduces a reliable speaker identification which enables the speech recognizer to create robust speaker dependent models In addition, this book gives a new approach to solve the reverse problem, how to improve speech recognition if speakers can be recognized. The speaker identification enables the speaker adaptation to adapt to different speakers which results in an optimal long-term adaptation.

Book information

ISBN: 9783642268809
Publisher: Springer Berlin Heidelberg
Imprint: Springer
Pub date:
Edition: 2011
DEWEY: 006.454
DEWEY edition: 23
Language: English
Number of pages: 184
Weight: 290g
Height: 235mm
Width: 155mm
Spine width: 10mm