Keyword spotting result post-processing to reduce false alarms

Proceedings of the 9th WSEAS International Conference on Signal, Speech and Image Processing, SSIP '09, Proc. 9th WSEAS Int. Conf. Multimedia, Internet and Video Technologies, MIV '09

Volumn , Issue , 2009, Pages 49-52

  Luboš, Šmídl ^a   Jan, Trmal ^a  

^a UNIVERSITY OF WEST BOHEMIA   (Czech Republic)

Author keywords

False alarm; Filler model; Keyword spotting

Indexed keywords

DETECTION RATES; FALSE ALARM RATE; FALSE ALARMS; FILLER MODEL; KEYWORD SPOTTING; KEYWORD SPOTTING SYSTEMS; OPERATING CURVE; ORDER OF MAGNITUDE; POST PROCESSING; PRACTICAL EXPERIENCE; RECOGNITION ACCURACY; THRESHOLDING; VALUE-BASED;

ERRORS; FILLERS; IMAGE PROCESSING; IMAGING SYSTEMS; INTERNET; MULTIMEDIA SIGNAL PROCESSING; SPEECH RECOGNITION;

ALARM SYSTEMS;

EID: 78149383903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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3. Young, S. J., Russell, N. H., Thornton, J. H. S., Token Passing: a Simple Conceptual Model for Connected Speech Recognition Systems, Technical Report CUED/F INFENG/TR38, Cambridge University Engineering Department, July 31, 1989.
4. Šmídl, L., Müller, L., Keyword Spotting for Highly Inflectional Languages, The Proceedings of the 8th International Conference on Spoken Language Processing, ICSLP 2004, Jeju, Korea, pp. 297-300, 2004.
5. Levenshtein, V. I., Binary codes capable of correcting deletions, insertions and reversals. Sov. Phys. Dokl., 6:707-710, 1966.