A study of digital speech processing, synthesis and recognition. This second edition contains new sections on the international standardization of robust and flexible speech coding techniques, waveform unit concatenation-based speech synthesis, large vocabulary continuous-speech recognition based on statistical pattern recognition, and more.
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Editorial Reviews
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. . .provides a solid introduction to the basics of digital signal processing for speech and provides a comprehensive overview of classic recognition techniques. It would be ideal as a primary textbook.
---The Canadian Journal of Information Science --This text refers to an alternate Hardcover edition.
---The Canadian Journal of Information Science --This text refers to an alternate Hardcover edition.
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3 of 3 people found the following review helpful:
3.0 out of 5 stars
Little disappointment,
By A Customer
This review is from: Digital Speech Processing, Synthesis and Recognition Second Edition Revised and Expanded (Signal Processing and Communications) (Hardcover)
This book disappointed me a little. I expected full algorithms descriptions and derivations of most important formulas. Neither is present. Descriptions are very superficial and practically imposible is to implement algorithms directly "from book". So the book is useless for engineers and scientists. Maybe it could be useful for students, but lack of some derivations is a great disadvantage here. I can recommend this book to readers not directly involved in digital speech processing, who want to broaden their knowledge in this signal processing area.
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Inside This Book
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First Sentence:
Speech communication is one of the basic and most essential capabilities possessed by human beings. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
modified autocorrelation function, antiresonance characteristics, speech information processing, spectral equalization, phoneme models, homomorphic analysis, speech wave, linear predictor coefficients, vocal tract area function, speaker adaptation, training utterances, claimed speaker, automatic speaker recognition, voice individuality, vocal tract characteristics, speech production mechanism, cepstral coefficients, statistical language modeling, channel vocoder, pitch extraction, spectral fine structure, spectral envelope, articulatory organs, robust speech recognition, vocal tract shape New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Speech communication is one of the basic and most essential capabilities possessed by human beings. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
modified autocorrelation function, antiresonance characteristics, speech information processing, spectral equalization, phoneme models, homomorphic analysis, speech wave, linear predictor coefficients, vocal tract area function, speaker adaptation, training utterances, claimed speaker, automatic speaker recognition, voice individuality, vocal tract characteristics, speech production mechanism, cepstral coefficients, statistical language modeling, channel vocoder, pitch extraction, spectral fine structure, spectral envelope, articulatory organs, robust speech recognition, vocal tract shape New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 23
books:
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77
books
cite this book:
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- Digital Processing of Speech Signals by Lawrence R. Rabiner on 4 pages
- Speech Analysis by Ronald W. Schafer on 4 pages
- Linear Prediction of Speech (Communication and cybernetics ; 12) by John D. Markel in Back Matter (1), and Back Matter (2)
- Speech Analysis Synthesis and Perception (Kommunikation und Kybernetik in Einzeldarstellungen, 3) by J. Flanagan in Back Matter (1), and Back Matter (2)
- Advances in Speech Signal Processing (Electrical and Computer Engineering) by Sadaoki Furui in Back Matter (1), and Back Matter (2)
See all 23 books this book cites
- Speech Processing: A Dynamic and Optimization-Oriented Approach (Signal Processing and Communications) by Li Deng in Front Matter, and Back Matter
- Voice Over MPLS : Planning and Designing Networks by Daniel Minoli on page 133
- Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing (Artech House Signal Processing Library) by Dimitris G. Manolakis in Back Matter
- Intelligent Robotic Systems (Electrical and Computer Engineering) by Tzafestas in Front Matter
- Satellite Communication Engineering (Signal Processing and Communication, 16) by Michael O. Kolawole in Front Matter
See all 77 books citing this book
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