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Mannepalli et al., 2016 - Google Patents

FDBN: Design and development of Fractional Deep Belief Networks for speaker emotion recognition

Mannepalli et al., 2016

Document ID
1709808370712215295
Author
Mannepalli K
Sastry P
Suman M
Publication year
Publication venue
International Journal of Speech Technology

External Links

Snippet

With an essential demand of human emotional behavior understanding and human machine interaction for the recent electronic applications, speaker emotion recognition is a key component which has attracted a great deal of attention among the researchers. Even …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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    • G06COMPUTING; CALCULATING; COUNTING
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
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    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065Adaptation
    • G10L15/07Adaptation to the speaker
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    • G10L17/26Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
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    • G06K9/6807Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • G06K9/6842Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
    • GPHYSICS
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    • G06N5/00Computer systems utilising knowledge based models
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    • G06N5/022Knowledge engineering, knowledge acquisition

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