Algorithms for computing the time-corrected instantaneous frequency (reassigned) spectrogram, with applications.
A modification of the spectrogram (log magnitude of the short-time Fourier transform) to more accurately show the instantaneous frequencies of signal components was first proposed in 1976 [Kodera et al., Phys. Earth Planet. Inter. 12, 142-150 (1976)], and has been considered or reinvented a few times since but never widely adopted. This paper presents a unified theoretical picture of this time-frequency analysis method, the time-corrected instantaneous frequency spectrogram, together with detailed implementable algorithms comparing three published techniques for its computation. The new representation is evaluated against the conventional spectrogram for its superior ability to track signal components. The lack of a uniform framework for either mathematics or implementation details which has characterized the disparate literature on the schemes has been remedied here. Fruitful application of the method is shown in the realms of speech phonation analysis, whale song pitch tracking, and additive sound modeling.
Fulop
Sean A
SA
Department of Linguistics, California State University, Fresno, California 93740-8001, USA. sfulop@csufresno.edu
Fitz
Kelly
K
D000465:Algorithms; D000818:Animals; D005583:Fourier Analysis; D006801:Humans; D010700:Phonetics; D010898:Pitch Perception / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography / Q000379:methods*; D013060:Speech / Q000502:physiology*; D013068:Speech Production Measurement / Q000295:instrumentation / Q000379:methods; D013997:Time Factors; D014827:Vocal Cords / Q000502:physiology*; D014828:Vocalization, Animal / Q000502:physiology*; D014907:Whales / Q000502:physiology*