Although numerous studies have shown that prosodic cues are critical to human speech perception, most automatic speech recognition systems process only spectral/phonetic cues.
The work presented in this book demonstrates the power of using multiple complementary sources of knowledge in a constraint satisfaction task such as speech recognition.
This book will be of interest to AI researchers in speech and pattern recognition, knowledge-based systems and natural language.
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By Alex Waibel
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Inside This Book
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First Sentence:
destinations). A large vocabulary system, capable of recognizing thousands of words, could meet many of the needs specified by such applications. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
prosodic knowledge sources, word hypothesizer, temporal knowledge sources, word hypothesization, harvard sentences, interrogation tune, sonorant energy, stress labels, sonorant portion, tracker failures, pitch tracker, vocabulary filter, loudness patterns, sentence database, voiced sections, vocabulary reduction, large vocabulary recognition, unvoiced regions, prosodic parameters, knowledge compiler, stress judgements, human speech perception, suprasegmental cues, stress detector, continuously spoken sentences Key Phrases - Capitalized Phrases (CAPs): (learn more)
All Cons, Brown Corpus, Ptpint Sondur Syldurl, Rank of Correct Word Candidates, Segmenter Figure, Spchave Missed Extra Ave, Stressed Syllable Classifiers Using Various Features, Frics Cluster, Frics Single, Stops Cluster, Stops Single, Vowels Any New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
destinations). A large vocabulary system, capable of recognizing thousands of words, could meet many of the needs specified by such applications. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
prosodic knowledge sources, word hypothesizer, temporal knowledge sources, word hypothesization, harvard sentences, interrogation tune, sonorant energy, stress labels, sonorant portion, tracker failures, pitch tracker, vocabulary filter, loudness patterns, sentence database, voiced sections, vocabulary reduction, large vocabulary recognition, unvoiced regions, prosodic parameters, knowledge compiler, stress judgements, human speech perception, suprasegmental cues, stress detector, continuously spoken sentences Key Phrases - Capitalized Phrases (CAPs): (learn more)
All Cons, Brown Corpus, Ptpint Sondur Syldurl, Rank of Correct Word Candidates, Segmenter Figure, Spchave Missed Extra Ave, Stressed Syllable Classifiers Using Various Features, Frics Cluster, Frics Single, Stops Cluster, Stops Single, Vowels Any New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 35
books:
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13
books
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- Digital Processing of Speech Signals by Lawrence R. Rabiner in Back Matter
- Artificial Intelligence (Watts Library) by Robert L. Perry in Front Matter
- Final report (CCS occasional paper ; no. 6) by Speyside Project in Back Matter
- Parallelism in Production Systems by Anoop Gupta in Front Matter
- Teach Yourself American English : As a Foreign Language by Sandra Stevens in Back Matter
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- Analogica (Research Notes in Artificial Intelligence) by Armand Prieditis in Front Matter
- Speech Processing and Synthesis Toolboxes by D. G. Childers in Back Matter
- Parallelism and Programming in Classifier Systems (Research Notes in Artificial Intelligence) by Stephanie Forrest in Front Matter
- Intonation: Analysis, Modelling and Technology (Text, Speech and Language Technology) by A. Botinis on page 381
- The Mathematics of Inheritance Systems (Research Notes in Artificial Intelligence) by David S. Touretzky in Front Matter
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