BLLDB - Title Entry - Koolagudi, Shashidhar G.: Emotion recognition from speech using sub-syllabic and pitch synchronous spectral features

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Journal article

Bibliographic description

Author		Koolagudi, Shashidhar G.; Krothapalli, Sreenivasa Rao
Title		Emotion recognition from speech using sub-syllabic and pitch synchronous spectral features

Written in		English
Source		International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ.
Volume		15
Year		2012
Issue		4
Page		495-511

Classification
General topics / Conferences

Domains / Computational linguistics / Artificial intelligence / Affect (artificial intelligence)

Domains / Computational linguistics / Artificial intelligence / Parallel Distributed Processing

Domains / Computational linguistics / Linguistic data processing / Corpus linguistics / Language corpus (phon.)

Domains / Computational linguistics / Parsing / Computational phonetics / Automatic speech recognition (phonet.)

Domains / Computational linguistics / Parsing / Grammar types (computational linguistics) / Hidden Markov Model

Domains / Computational linguistics / Parsing / Segmentation (computational linguistics)

Levels / Phonetics / Acoustic phonetics / Amplitude

Levels / Phonetics / Acoustic phonetics / Formant

Levels / Phonetics / Acoustic phonetics / Frequency (acoustics)

Levels / Phonetics / Articulatory phonetics / Affect (phonet.)

Levels / Phonetics / Imaging techniques (phonet.) / Spectrography

Levels / Phonology / Suprasegmentalia / Pitch (phonem.)

Indo-European languages / Other Indo-European languages / Indo-Arian languages / Hindi


Redirected from
Conferences ; Sentimentanalyse (Künstliche Intelligenz) ; Sentiment detection (artificial intelligence) ; Sentiment analysis (artificial intelligence) ; Affect (artificial intelligence) ; PDP; Connectionism (artificial intelligence) ; Neural networks (artificial intelligence) ; Textkorpus (phon.) ; Text corpus (phon.) ; Language corpus (phon.) ; Automatische Sprachanalyse (phonet.) ; Automatische Spracherkennung (phonet.) ; Speech recognition (phonet.) ; Spoken language understanding; Automatic speech recognition (phonet.) ; Markov Model; HMM ; Segmentation (computational linguistics) ; Intensität (phonet.) ; Intensity (phonet.) ; Frequency (acoustics) ; Affect (phonet.) ; Cepstrum; Spectrography ; Pitch (phonem.)

Subject terms
Interspeech 2009 Emotion Challenge ; Brighton, UK ; 06.09.2009-10.09.2009