Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
Here's a scientific look at computer-generated speech verification and identification -- its underlying technology, practical applications, and future direction. You get a solid background in voice recognition technology to help 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.Synopsis
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
Booknews
Klevans and Rodman (North Carolina State U.) identify the diverse audience with interests in computer voice-recognition systems: researchers (in computer, speech, and human-factors); security (banks, corporations, the military, homeowners); and professionals in justice, law enforcement, education, and training. The linguist and computer scientist duo examine the major implicated tasks of feature extraction and pattern recognition, review its history since voice-print analysis of the 1960s, compare human/machine voice recognition, consider design tradeoffs, present their multigrammar segregating system for context- free voice recognition, share experimental results, and make recommendations regarding specific applications and a future research agenda. Annotation c. by Book News, Inc., Portland, Or.