A spoken term detection framework for recovering out-of-vocabulary words using the web

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

Volumn , Issue , 2010, Pages 1269-1272

  Parada, Carolina ^a   Sethy, Abhinav ^b   Dredze, Mark ^a   Jelinek, Frederick ^a  

^a Johns Hopkins University   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Data selection; Language modeling; Oov detection; Spoken term detection

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; CONTINUOUS SPEECH RECOGNITION; DISTILLATION; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH COMMUNICATION; RECOVERY; SPEECH PROCESSING; SPEECH RECOGNITION; VOCABULARY CONTROL;

CONTEXTUAL INFORMATION; DATA SELECTION; LANGUAGE MODEL; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; MACHINE TRANSLATIONS; OUT OF VOCABULARY WORDS; SPOKEN TERM DETECTION (STD); SPOKEN TERM DETECTIONS; DETECTION FRAMEWORK; DOWN-STREAM; NAMED ENTITIES; OOV DETECTION; OUTOF-VOCABULARY WORDS (OOV); SPEECH RECOGNITION SYSTEMS; SPOKEN TERM DETECTION;

RECOVERY; MODELING LANGUAGES;

EID: 79959838750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

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