Research Catalog
Self-learning speaker identification : a system for enhanced speech recognition
- Title
- Self-learning speaker identification : a system for enhanced speech recognition / Tobias Herbig, Franz Gerl, and Wolfgang Minker.
- Author
- Herbig, Tobias.
- Publication
- Berlin : Springer, ©2011.
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| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
Not available - Please for assistance. | Text | Use in library | TK7895.S65 H47 2011 | Off-site |
Details
- Additional Authors
- Description
- xii, 172 pages : illustrations; 24 cm.
- 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.
- Series Statement
- Signals and communication technology
- Uniform Title
- Signals and communication technology
- Subject
- Automatic speech recognition
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- 1. Introduction -- 2. Fundamentals -- 3. Combining self-learning speaker identification and speech recognition -- 4. Combined speaker adaptation -- 5. Unsupervised speech controlled system with long-term adaptation -- 6. Evolution of an adaptive unsupervised speech controlled system -- 7. Summary and conclusions -- 8. Outlook.
- ISBN
- 9783642198984
- 3642198988
- LCCN
- 2011927891
- OCLC
- ocn747854555
- 747854555
- SCSB-9316744
- Owning Institutions
- Princeton University Library