Time-frequency signal decompositions for audio and speech processing

Karthikeyan Umapathy, Sridhar Krishnan

Abstract


A unified adaptive TF decomposition based methodology for processing audio and speech signals was presented. The proposed methodology uses an adaptive TF transform (ATFT) based on the matching pursuit (MP) algorithm with Gaussian TF function. MP when used with a dictionary of TF functions yields an adaptive time-frequency transformation. A novel time-width vs frequency band mapping (TWFB) is also developed which demonstrates high potential to form as a versatile parametric visualization/pattern recognition tool.

Keywords


Audio acoustics; Frequencies; Functions; Pattern recognition; Speech processing; Frequency band mapping (TWFB); Gaussian TF function; Matching pursuit (MP); TF decomposition

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