Language independent automatic speech segmentation into phoneme-like units on the base of acoustic distinctive features

4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings

Volumn , Issue , 2013, Pages 579-582

  Kiss, Gabor ^a   Sztaho, David ^a   Vicsi, Klara ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Hidden Markov Models; language independent; speech recognition; speech segmentation

Indexed keywords

SPEECH RECOGNITION;

ACOUSTIC FEATURES; AUTOMATIC SPEECH; COGNITIVE INFOCOMMUNICATIONS; CONTINUOUS SPEECH; LANGUAGE INDEPENDENTS; LANGUAGE LEARNING; SEGMENTATION SYSTEM; SPEECH SEGMENTATION;

HIDDEN MARKOV MODELS;

EID: 84894197357     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CogInfoCom.2013.6719169     Document Type: Conference Paper

References (13)

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2. Vicsi Klára, Sztahó Dávid, Kiss Gábor: Examination of the sensitivity of acoustic-phonetic parameters of speech to depression. In: 3rd IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2012). Kassa, Szlovákia, 2012.12.02-2012.12.05. pp. 511-515. (2012)
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