Title :
A hidden Markov model approach to the classification of acoustic transients
Author :
Shields, M. ; Therrien, C.
Author_Institution :
US Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
A system for the detection and classification of acoustic transients based on hidden Markov model (HMM) methods is described. The system was tested using two different sets of data. The results from these tests are summarized and compared to some other known algorithms and to the performance of human beings. The effect of observation noise on the training and classification process is also discussed, and results using different noise-correction techniques are presented
Keywords :
Markov processes; acoustic noise; acoustic receivers; acoustic signal processing; probability; transients; acoustic signal processing; algorithms; classification of acoustic transients; classification process; hidden Markov model; noise-correction; observation noise; parameter estimation; training; Acoustic noise; Acoustic signal detection; Acoustic testing; Background noise; Hidden Markov models; Humans; Probability distribution; Signal processing; Speech; System testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116190
