An overcomplete signal basis approach to nonlinear time-tone analysis with application to audio and speech processing

Authors:
Richard B. Reilly
Affiliations:
School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Belfield, Dublin, Ireland
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2006

Citing 3
Cited 0

Fundamentals of speech recognition

Fundamentals of speech recognition
Speech and Audio Signal Processing: Processing and Perception of Speech and Music

Speech and Audio Signal Processing: Processing and Perception of Speech and Music
Robust transient signal detection using the oversampled Gaborrepresentation

IEEE Transactions on Signal Processing

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Abstract

Although a beating tone and the two pure tones which give rise to it are linearly dependent, the ear considers them to be independent as tone sensations. A linear time-frequency representation of acoustic data is unable to model these phenomena. A time-tone sensation approach is proposed for inclusion within audio analysis systems. The proposed approach extends linear time-frequency analysis of acoustic data, by accommodating the nonlinear phenomenon of beats. The method replaces the one-dimensional tonotopic axis of linear time-frequency analysis with a two-dimensional tonotopic plane, in which one direction corresponds to tone, and the other to its frequency of modulation. Some applications to audio prostheses are discussed. The proposed method relies on an intuitive criterion of optimal representation which can be applied to any overcomplete signal basis, allowing for many signal processing applications.