Using parallel tokenizers with DTW matrix combination for low-resource spoken term detection

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

Volumn , Issue , 2013, Pages 8545-8549

  Wang, Haipeng ^a   Lee, Tan ^a   Leung, Cheung Chi ^b   Ma, Bin ^b   Li, Haizhou ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

DTW matrix combination; pseudo relevance feedback; query by example spoken term detection; tandem tokenizer

Indexed keywords

DETECTION PERFORMANCE; DTW MATRIX COMBINATION; DYNAMIC TIME WARPING; POST-PROCESSING TECHNIQUES; POSTERIORGRAM-BASED TEMPLATE MATCHING; PSEUDO RELEVANCE FEEDBACK; SPOKEN TERM DETECTIONS; TOKENIZER;

SIGNAL PROCESSING; TEMPLATE MATCHING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84890452240     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639333     Document Type: Conference Paper

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