Abstract
Inspired by the ability of the auditory system to dynamically track frequency and amplitude changes in modulated signals, an algorithm for high resolution time-varying spectral analysis is proposed. The main feature of the algorithm is an auditory-inspired filterbank followed by a peak detector. Mathematical analysis, with various types of synthetic modulated signals, demonstrates that the proposed method correctly demodulates these signals. The resulting time-frequency display, referred to as a fine structure spectrogram, shows the frequency and amplitude modulations in higher detail than is possible with conventional spectrograms. With recorded consonant–vowel syllables, the fine structure spectrogram detects small frequency and amplitude modulations in the initial glides and in the steady vowel formants. These modulations are not clearly seen in conventional time-frequency representations.
Published Version
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