Multiple pitch identification using cochlear-like frequency capture and harmonic grouping

This work addresses the problem of identifying multiple fundamental frequencies in an acoustic signal. An auditory-inspired peripheral signal processing model is proposed that functions in a manner more like a bank of FM receivers rather than a traditional filterbank. Such receivers lock on to a strong signal (synchrony capture, frequency capture) even in the presence of nearby only slightly weaker signal components. Once the individual signal components are resolved, the model subjects them to an instantaneous nonlinearity and then performs harmonic grouping by cross correlating the isolated components. After the harmonically-related components are grouped, their pitches are computed using a standard summary autocorrelation approach.