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Springer - Data-Driven Techniques in Speech Synthesis Book

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Description

Explore the evolving landscape of speech technology with Data-Driven Techniques in Speech Synthesis. Part of the Telecommunications Technology & Applications Series, this book provides a comprehensive review of the field, focusing on how modern computing power transforms how machines generate human-like speech. As machine learning and artificial intelligence continue to advance, the industry is moving away from manual, expert-written rules toward approaches that utilize large databases as implicit knowledge sources. This text covers every stage of the process, from text analysis and letter-to-sound conversion to prosodic marking. You will also learn about the extraction of parameters used to drive synthesis hardware. This resource is designed for those studying the intersection of computer science and telecommunications, offering a deep look at how cheap computer processing and memory have fueled the shift toward data-driven methodologies. It serves as an essential guide for understanding how modern AI exploits data to achieve more natural speech synthesis results.

Key Features

Comprehensive coverage of all speech synthesis areas, including text analysis and letter-to-sound conversion processes.

Detailed insights into prosodic marking and the extraction of parameters required to drive synthesis hardware effectively.

Explores the shift from manual rule-based systems to modern approaches using large databases as knowledge sources.

Focuses on the impact of machine learning and artificial intelligence on the field of speech synthesis.

Part of the professional Telecommunications Technology & Applications Series by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 December 2010
Listed Since
06 July 2010

Barcode

No barcode data available

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