Self-learning speaker identification : a system for enhanced speech recognition /
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 syst...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin :
Springer,
2011.
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| Series: | Signals and communication technology.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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 identificati |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3642198996 (electronic bk.) 9783642198991 (electronic bk.) |
| DOI: | 10.1007/978-3-642-19899-1 |