A neural matrix model for active tracking of frequency-modulated tones

Author

Aikawa, Kiyoaki ; Kawahara, Hideki ; Tsuzaki, Minoru

Volume

1

fYear

1996

fDate

3-6 Oct 1996

Firstpage

578

Abstract

A previous paper (Aikawa et al., 1995) has shown that the dynamic process of perceiving frequency-modulated (FM) tones can be well simulated by a sound tracking model represented by second-order systems. This paper proposes a new neural operational model for tracking FM tones using a tonotopic neural matrix. The neural cells are connected to build up an auto-regressive architecture. This neural matrix model is characterized by a novel spectral interpolation algorithm based on Lp-norm. The new tracking model enables simultaneous tracking of multiple FM tones. This paper demonstrates that the neural tracking model can successfully simulate perceptual effect such as pitch bounce caused by crossed linear sweep tones. The perceptual overshoot effect is also reasonably explained

Keywords

Laplace transforms; frequency modulation; interpolation; matrix algebra; neural net architecture; spectral analysis; speech processing; Lp-norm; active tracking; auto-regressive architecture; crossed linear sweep tones; frequency-modulated tones; neural matrix model; perceptual effect; perceptual overshoot effect; pitch bounce; second-order systems; sound tracking model; spectral interpolation algorithm; tonotopic neural matrix; Acceleration; Brain modeling; Damping; Frequency; Humans; Interpolation; Laboratories; Shape; Speech; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-3555-4

Type

conf

DOI

10.1109/ICSLP.1996.607183

Filename

607183