Spoken Language Processing: A Guide to Theory, Algorithm and System Development
|von Xuedong Huang|
Synopsis *New advances in spoken language processing: theory and practice *In-depth coverage of speech processing, speech recognition, speech synthesis, spoken language understanding, and speech interface design *Many case studies from state-of-the-art systems, including examples from Microsofts advanced research labs Spoken Language Processing draws on the latest advances and techniques from multiple fields: computer science, electrical engineering, acoustics, linguistics, mathematics, psychology, and beyond. Starting with the fundamentals, it presents all this and more: *Essential background on speech production and perception, probability and information theory, and pattern recognition *Extracting information from the speech signal: useful representations and practical compression solutions *Modern speech recognition techniques: hidden Markov models, acoustic and language modeling, improving resistance to environmental noises, search algorithms, and large vocabulary speech recognition *Text-to-speech: analyzing documents, pitch and duration controls; trainable synthesis, and more *Spoken language understanding: dialog management, spoken language applications, and multimodal interfaces. To illustrate the books methods, the authors present detailed case studies based on state-of-the-art systems, including Microsofts Whisper speech recognizer, Whistler text-to-speech system, Dr. Who dialog system, and the MiPad handheld device. Whether youre planning, designing, building, or purchasing spoken language technology, this is the state of the art - from algorithms through business productivity.
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