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130125s2013 xxu| s |||| 0|eng d |
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|a 9781461463603
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|a 10.1007/978-1-4614-6360-3
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Rao, K. Sreenivasa.
|e author.
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|a Robust Emotion Recognition using Spectral and Prosodic Features /
|c by K. Sreenivasa Rao, Shashidhar G. Koolagudi.
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250 |
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|a 1st ed. 2013.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
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|a XII, 118 p. 37 illus., 15 illus. in color. :
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
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|a Introduction -- Robust Emotion Recognition using Pitch Synchronous and Sub-syllabic Spectral Features -- Robust Emotion Recognition using Word and Syllable Level Prosodic Features -- Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features -- Robust Emotion Recognition using Speaking Rate Features -- Emotion Recognition on Real Life Emotions -- Summary and Conclusions -- MFCC Features -- Gaussian Mixture Model (GMM).
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|a Signal processing.
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|a Image processing.
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|a Speech processing systems.
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|a User interfaces (Computer systems).
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|a Natural language processing (Computer science).
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|a Computational linguistics.
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|a Signal, Image and Speech Processing.
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|a User Interfaces and Human Computer Interaction.
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|a Natural Language Processing (NLP).
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|a Computational Linguistics.
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|a Koolagudi, Shashidhar G.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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