Sound-Source Recognition: A Theory and Computational Model

Sound-Source Recognition: A Theory and Computational Model (1999)

by Keith Dana Martin

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Datum	Value	Source
TITLE	Sound-Source Recognition: A Theory and Computational Model	user correction
AUTHOR NAME	Keith Dana Martin	user correction
AUTHOR AFFIL	Massachusetts Institute of Technology	user correction
ABSTRACT	The ability of a normal human listener to recognize objects in the environment from only the sounds they produce is extraordinarily robust with regard to characteristics of the acoustic environment and of other competing sound sources. In contrast, computer systems designed to recognize sound sources function precariously, breaking down whenever the target sound is degraded by reverberation, noise, or competing sounds. Robust listening requires extensive contextual knowledge, but the potential contribution of sound-source recognition to the process of auditory scene analysis has largely been neglected by researchers building computational models of the scene analysis process. This thesis proposes a theory of sound-source recognition, casting recognition as a process of gathering information to enable the listener to make inferences about	SVM HeaderParse 0.2
YEAR	1999	SVM HeaderParse 0.2
CITATIONS	184 found	ParsCit 1.0