Robust audio indexing and keyword retrieval optimized for the rescue operation domain

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4458 LNCS, Issue , 2007, Pages 135-142

  Schneider, Daniel ^a   Winkler, Thomas ^a   Löffler, Jobst ^a   Schon, Jochen ^a  

^a FRAUNHOFER IAIS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SYSTEMS; DISASTERS; MATHEMATICAL MODELS; PROJECT MANAGEMENT; SPEECH RECOGNITION;

RESCUE OPERATIONS; TRAINING CORPUS;

INFORMATION RETRIEVAL;

EID: 38149024790     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (5)

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2. Wilpon, J.G., Lee, C.H., Rabiner, L.R.: Application of Hidden Markov Models for recognition of a limited set of words in unconstrained speech. In: Proc. IEEE Int. Conf. Acoustics, Speech & Signal Processing, pp. 254-257. IEEE Computer Society Press, Los Alamitos (1989)
3. Wilpon, J.G., Rabiner, L.R., Lee, C.H., Goldman, E.R.: Automatic recognition of keywords in unconstrained speech using HMMs. IEEE Transactions on Acoustics, Speech and Signal Processing 38, 1870-1878 (1990)
4. Lee, C.H., Lin, C.H., Juang, B.H.: A study on speaker adaptation of the parameters of continuous density Hidden Markov Models. IEEE Transactions on Acoustics, Speech, and Signal Processing 39(4), 806-814 (1991)
5. Leggetter, C., Woodland, P.: Speaker adaptation of HMMs using linear regression. Technical report, Cambridge University (1994)