4 books on Speech Generation [PDF]

October 24, 2024

Books on Speech Generation cover various aspects of speech synthesis, including neural networks, linguistic modeling, and prosody. They explain the complexities of producing natural and human-like speech from text and challenges of pronunciation, intonation, and emotion in text-to-speech applications.

1. Progress in Speech Synthesis
2013 by Jan P.H. van Santen, Richard Sproat, Joseph Olive, Julia Hirschberg



Recent advancements in text-to-speech synthesis are based on global research contributions: signal processing and source modeling are improving synthesized speech quality while prosodic analysis and synthesis play a significant role in natural-sounding speech. Besides, visual speech synthesis, involving lip movements, enhances human-computer interaction. Perception evaluation methods are essential to measure the success of speech synthesis systems.
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2. An Introduction to Text-to-Speech Synthesis
2013 by Thierry Dutoit



The book approaches speech synthesis from both linguistic and engineering perspectives. From the first side it requires careful coordination of language modeling and signal processing, from the other - natural language processing and concatenative synthesis are used for digital signal processing. The integration of phonetics and speech communication is vital for creating natural-sounding speech.
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3. Text-to-Speech Synthesis
2009 by Paul Taylor



This author also agrees that speech synthesis combines linguistics, phonetics and signal processing. This field bridges computer science, linguistics and electrical engineering in practical applications. Traditional techniques like format synthesis are still relevant for understanding speech production. But unit selection and hidden Markov models are more modern methods in speech synthesis and statistical text analysis is integral to creating realistic text-to-speech conversions.
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4. Speech Synthesis and Recognition
2002 by Wendy Holmes



This book was written when speech technology was becoming increasingly important for human-machine communication and applicable across engineering and IT disciplines. It claims that it can be implemented without mathematical expertise: "No advanced knowledge of phonetics or speech signal properties is required to grasp the field's basics". The book also provides a practical guide for professionals looking to incorporate speech technology into their systems.
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