Fully unsupervised word learning from continuous speech using transitional probabilities of atomic acoustic events

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2922-2925

  Räsänen, Okko Johannes ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Distributional learning; Language acquisition; Unsupervised learning; Word segmentation

Indexed keywords

LINGUISTICS; PROBABILITY; SPEECH COMMUNICATION; UNSUPERVISED LEARNING; SPEECH RECOGNITION;

CONTINUOUS SPEECH; DISTRIBUTIONAL LEARNING; INFANT-DIRECTED SPEECH; LANGUAGE ACQUISITION; LANGUAGE LEARNING; PRIORI KNOWLEDGE; TRANSITIONAL PROBABILITY; WORD SEGMENTATION; ACOUSTIC EVENTS; EVENT VECTORS; LEARN+; SPECTRAL FEATURE; WORD LEARNING;

LEARNING ALGORITHMS;

EID: 79959846026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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