Automatic Speech and Speaker Recognition, Chin-Hui Lee; Frank K. Soong; Kuldip K. Paliwal

Автор: Sakriani Sakti; Konstantin Markov; Satoshi Nakamur
Название: Incorporating Knowledge Sources into Statistical Speech Recognition
ISBN: 1441946764 ISBN-13(EAN): 9781441946768
Издательство: Springer
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Цена: 19589.00 р.
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Описание: The authors address the problem of developing efficient automatic speech recognition systems that maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training manageable and improving speech recognition performance.

Автор: Antonio J. Rubio Ayuso; Juan M. Lopez Soler
Название: Speech Recognition and Coding
ISBN: 3642633447 ISBN-13(EAN): 9783642633447
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute on New Advances and Trends in Speech Recognition and Coding, held in Bubion, Granada, Spain, June 28 - July 10, 1993

Автор: Koteswara Rao Anne; Swarna Kuchibhotla; Hima Deept
Название: Acoustic Modeling for Emotion Recognition
ISBN: 3319155296 ISBN-13(EAN): 9783319155296
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book presents state of art research in speech emotion recognition. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques.

Автор: Homayoon Beigi
Название: Fundamentals of Speaker Recognition
ISBN: 1489979220 ISBN-13(EAN): 9781489979223
Издательство: Springer
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Цена: 13059.00 р.
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Описание: Speaker Recognition is a popular new technology that can authenticate voices over the phone. This comprehensive text covers the basics and the latest developments of this technology and includes examples and exercises at the end of each chapter.

Автор: Kai-Fu Lee
Название: Automatic Speech Recognition
ISBN: 0898382963 ISBN-13(EAN): 9780898382969
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Speech Recognition has a long history of being one of the difficult problems in Artificial Intelligence and Computer Science. These include cost, real time response, speaker independence, robustness to variations such as noise, microphone, speech rate and loudness, and the ability to handle non-grammatical speech.

Автор: Jean-Claude Junqua; Jean-Paul Haton
Название: Robustness in Automatic Speech Recognition
ISBN: 0792396464 ISBN-13(EAN): 9780792396468
Издательство: Springer
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Цена: 30039.00 р.
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Описание: Emphasizes the problems of speech production and perception in noise along with popular techniques used in speech analysis and automatic speech recognition. This book discusses the problems relevant to robustness in automatic speech recognition and speech-based applications.

Автор: A. Acero
Название: Acoustical and Environmental Robustness in Automatic Speech Recognition
ISBN: 0792392841 ISBN-13(EAN): 9780792392842
Издательство: Springer
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Цена: 22201.00 р.
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Описание: Builds on the techniques of spectral subtraction and spectral normalization, which were developed to enhance the quality of degraded speech for human listeners. This book describes and explains the compensation algorithms that have been developed to compensate for these types of environmental degradation.

Автор: Elsayed Azzouz; A.K. Nandi
Название: Automatic Modulation Recognition of Communication Signals
ISBN: 1441951660 ISBN-13(EAN): 9781441951663
Издательство: Springer
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Цена: 30039.00 р.
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Описание: Automatic modulation recognition is a rapidly evolving area of signal analysis. Automatic Modulation Recognition of Communications Signals is the first comprehensive book on automatic modulation recognition.

Автор: Pietro Laface; Renato DeMori
Название: Speech Recognition and Understanding
ISBN: 3642766285 ISBN-13(EAN): 9783642766282
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Proceedings of the NATO Advanced "Study Institute on Speech Recognition and Understanding. Recent Advances, Trends and Applications" held in Cetraro, Italy, July 1-13, 1990

Автор: Jacek Grekow
Название: From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
ISBN: 331970608X ISBN-13(EAN): 9783319706085
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation.

Автор: Gabriel Ferrate; Theo Pavlidis; Alberto Sanfeliu;
Название: Syntactic and Structural Pattern Recognition
ISBN: 3642834647 ISBN-13(EAN): 9783642834646
Издательство: Springer
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Цена: 11173.00 р.
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Описание: Proceedings of the NATO Advanced Research Workshop on Syntactic and Structural Pattern Recognition, held in Barcelona-Sitges, Spain, October 23-25, 1986