Using N-best recognition output for extractive summarization and keyword extraction in meeting speech

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 5310-5313

  Liu, Yang ^a   Xie, Shasha ^a   Liu, Fei ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

Keyword extraction; N best hypotheses; Summarization

Indexed keywords

DATA MINING; EXTRACTION; TEXT PROCESSING;

CONFIDENCE MEASURE; DOWN-STREAM; EXTRACTIVE SUMMARIZATIONS; FREQUENCY WEIGHTINGS; KEYWORDS EXTRACTION; MEETING UNDERSTANDING; N-BEST HYPOTHESIS; SUMMARIZATION; TERM FREQUENCYINVERSE DOCUMENT FREQUENCY (TF-IDF); TOPIC SEGMENTATIONS;

SPEECH RECOGNITION;

EID: 78049364865     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5494972     Document Type: Conference Paper

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