Abstract
AbstractWe will propose in this paper a new algorithm for a computational implementation of auditory scene analysis. This algorithm forms a three‐layer structure of (1) subband decomposition by wavelet transform, (2) characterization of subband signal fragments by instantaneous frequency, frequency change rate, and amplitude change rate, and (3) frequency integration of subband signal features by voting method. We will perform the grouping and integration by voting the subband signal fragments into a nonparametric multipeak probability density distribution expressing “possibility of streams”; and then the recognition of the streams and the extraction of the stream parameters are realized by tracing its greatest point. It is confirmed from basic experiments for synthesized sounds and voices that the fundamental frequency/frequency change rate/amplitude change rate can be separated and estimated from multiple streams. © 2002 Wiley Periodicals, Inc. Syst Comp Jpn, 33(11): 95–106, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.1167
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