Based on a NATO Advanced Study Institute held in 1993, this book addresses recent advances in automatic speech recognition and speech coding. The book contains contributions by many of the most outstanding researchers from the best laboratories worldwide in the field. The contributions have been grouped into five parts: on acoustic modeling; language modeling; speech processing, analysis and synthesis; speech coding; and vector quantization and neural nets. For each of these topics, some of the best-known researchers were invited to give a lecture. In addition to these lectures, the topics were complemented with discussions and presentations of the work of those attending. Altogether, the reader is given a wide perspective on recent advances in the field and will be able to see the trends for future work.
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First Sentence:
If automatic speech recognition systems perform remarquably well, even for large vocabulary or multi-speaker tasks, their performances degrade dramatically in adverse situations, especially in the presence of noise or distortion. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
conditioned copies, tandem scheme, phoneme copies, interframe information, keyword rejection, syllabic fillers, mean recognition score, regular point lattices, tree lexicon, large code book, pass classifier, noisy speech recognition, bigram language model, class bigrams, decoding experiments, trellis network, speech translation system, conceptual segmentation, putative hits, trellis coded quantizations, bigram model, subframe length, speaker verification systems, line spectral frequencies, pronunciation networks Key Phrases - Capitalized Phrases (CAPs): (learn more)
San Francisco, New York, Kluwer Academic Publishers, Enrique Vidal, Della Pietra, Francisco Casacuberta, Nariman Farvardin, Chin-Hui Lee, Esther Levin, Roberto Pieraccini, Hermann Ney, Jean-Pierre Adoul, Pedro Garcia, Telecommunications Applications of Speech Processing, European Conf, Jean-Luc Gauvain, Pacific Grove, Syntactic Pattern Recognition, Two New Approaches, Andreas Hauenstein, Automatic Recognition of Noisy Speech, Cambridge University, Englewood Cliffs, Frederick Jelinek, Jean-Paul Haton New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
If automatic speech recognition systems perform remarquably well, even for large vocabulary or multi-speaker tasks, their performances degrade dramatically in adverse situations, especially in the presence of noise or distortion. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
conditioned copies, tandem scheme, phoneme copies, interframe information, keyword rejection, syllabic fillers, mean recognition score, regular point lattices, tree lexicon, large code book, pass classifier, noisy speech recognition, bigram language model, class bigrams, decoding experiments, trellis network, speech translation system, conceptual segmentation, putative hits, trellis coded quantizations, bigram model, subframe length, speaker verification systems, line spectral frequencies, pronunciation networks Key Phrases - Capitalized Phrases (CAPs): (learn more)
San Francisco, New York, Kluwer Academic Publishers, Enrique Vidal, Della Pietra, Francisco Casacuberta, Nariman Farvardin, Chin-Hui Lee, Esther Levin, Roberto Pieraccini, Hermann Ney, Jean-Pierre Adoul, Pedro Garcia, Telecommunications Applications of Speech Processing, European Conf, Jean-Luc Gauvain, Pacific Grove, Syntactic Pattern Recognition, Two New Approaches, Andreas Hauenstein, Automatic Recognition of Noisy Speech, Cambridge University, Englewood Cliffs, Frederick Jelinek, Jean-Paul Haton 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 100
books:
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1
book
cites this book:
- Pattern Classification (2nd Edition) by Richard O. Duda on 5 pages
- Pattern Classification and Scene Analysis by Richard O. Duda on 5 pages
- Fundamentals of Speech Recognition by Lawrence Rabiner on 4 pages
- Advances in Speech Signal Processing (Electrical and Computer Engineering) by Sadaoki Furui on page 131, and page 247
- Vector Quantization and Signal Compression (The Springer International Series in Engineering and Computer Science) by Allen Gersho on page 384, and page 402
See all 100 books this book cites
- Verbmobil: Foundations of Speech-to-Speech Translation (Artificial Intelligence) by Wolfgang Wahlster in Back Matter
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