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Artech House USA
Voice Recognition

Voice Recognition

Copyright: 1997
Pages: 171
ISBN: 9780890069271

Artech House is pleased to offer you this title in a special In-Print-Forever® ( IPF® ) hardbound edition. This book is not available from inventory but can be printed at your request and delivered within 2-4 weeks of receipt of order. Please note that because IPF® books are printed on demand, returns cannot be accepted.


Print Book $137.00 Qty:
Here's a scientific look at computer-generated speech verification and identification - its underlying technology, practical applications, and future direction. This book provides you with a solid background in voice recognition technology and helps you make informed decisions on which voice recognition-based software to use in your company or organization. It is unique in its clear explanations of mathematical concepts, as well as its full-chapter presentation of the successful new Multi-Granular Segregating System for accurate, context-free speech identification. Page after page of actual case studies and experimental results supported by clear, easy-to-follow charts and graphs help...Speech scientists get up to speed in voice recognition technology and conduct future research; Security specialists and managers choose the speech identification-based security system best suited for their needs; Law enforcement and justice officials better understand the benefits and limitations of forensic voice recognition technology.
1.Introduction: Speech Synthesis. Speech Recognition. Speaker Classification. Areas of Application for Voice Recognition. Design Tradeoffs in Voice Recognition. Regarding This Book. 2. Background of Voice Recognition: Voiceprint Analysis. Parameter Extraction. Voice Recognition in Noisy Environments. 3. Methods of Context-Free Voice Recognition: Voice Recognition in Law Enforcement. Ideal Voice Recognition. A Segregating Voice-Recognition System. Logistics of Forensic Speaker Identification. 4. Experimental Results: Test Utterance Length Experiments. Large Population Results. Filtered Data Test. Channel Compensation Tests. Secondary Parameters. Mock Forensic Cases. 5. The Future of Context-Free Voice Recognition: Rehumanizing Filter Technique Tests. Voice-Recognition Databases. Medium-Term Goals. Long-Term Goals. Other Applications. 6. Conclusions
  • Richard L. Klevans Richard Klevans is a research associate with North Carolina State University, where he also earned a Ph.D. in computer science.
  • Robert D. Rodman Robert D. Rodman is an associate professor of computer science at North Carolina State University. The author of two books and more than a dozen professional papers, he holds a Ph.D. in linguistics from UCLA.
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