Computational Auditory Scene Analysys and Sound Separation

Contents

Multi-channel based Sound Separation

Time-Frequency Representation of Sound

Time-frequency representation of a sound obtained as the output of a set of band-pass filters. To match the sensitive level of human, the level of each frequency band is adjusted by the MAF (minimum audible field) curve of human.

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Local Peak Map

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Echo-Free Onset Map based on the Model of the Precedence Effect

A map of estimated sound to echo ratio in time-frequency domain.

Detected echo-free onsets by the model of the precedence effect.

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Histogram of Onset ATDs

 The Arrival temporal disparity (ATD) of each sound component (between different channels) is calculated at the onset of component. A histogram of onset ATD is calculated in which each significant peak probably corresponds to an existing sound source. Sound components are then separated according to their assigned groups.

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Grouping Components by Onset ATDs

 Sound component group 1 (/tyusin/).

Sound component group 2 (/anoseikatsuo/).

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Results of Separation

 The following figures show the waveforms of sound before and after the separation.

(Experiment in an Anechoic Chamber)

(Experiment in an empty room enclosed with concrete walls)

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last modified: 19 August 2000 by Jie Huang (j-huang@u-aizu.ac.jp).