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Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references. This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehens...
The history of British Columbia's economy in the twentieth century is inextricably bound to the development of the forest industry. In this comprehensive study, Gordon Hak approaches the forest industry from the perspectives of workers and employers, examining the two institutions that structured the relationship during the Fordist era: the companies and the unions. He relates daily routines of production and profit-making to broader forces of unionism, business ideology, ecological protest, technological change, and corporate concentration. The struggle of the small-business sector to survive in the face of corporate growth, the history of the industry on the Coast and in the Interior, the transformations in capital-labour relations during the period, government forest policy, and the forest industry's encounter with the emerging environmental movement are all considered in this eloquent analysis.
This volume and its companion volume LNAI 4441 constitute a state-of-the-art survey in the field of speaker classification. Together they address such intriguing issues as how speaker characteristics are manifested in voice and speaking behavior. The nineteen contributions in this volume are organized into topical sections covering fundamentals, characteristics, applications, methods, and evaluation.
"This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refers to the need to maintain high speech recognition accuracy even when the quality of the input speech is degraded, or whe"