Frequency domain independent component analysis has a scaling indeterminacy and a permutation problem. The scaling indeterminacy can be solved by use of a decomposed spectrum. For the permutation problem, we have proposed the rules in terms of gain ratio and phase difference derived from the decomposed spectra and the source-s coarse directions. The present paper experimentally clarifies that the gain ratio and the phase difference work effectively in a real environment but their performance depends on frequency bands, a microphone-space and a source-microphone distance. From these facts it is seen that it is difficult to attain a perfect solution for the permutation problem in a real environment only by either the gain ratio or the phase difference. For the perfect solution, this paper gives a solution to the problems in a real environment. The proposed method is simple, the amount of calculation is small. And the method has high correction performance without depending on the frequency bands and distances from source signals to microphones. Furthermore, it can be applied under the real environment. From several experiments in a real room, it clarifies that the proposed method has been verified.


    Access

    Download


    Export, share and cite



    Title :

    Blind Source Separation for Convoluted Signals Based on Properties of Acoustic Transfer Function in Real Environments


    Contributors:

    Publication date :

    2010-11-23


    Remarks:

    oai:zenodo.org:1081649



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Acoustic Blind Source Separation Based on the Particle Velocity Measurement

    Teramoto, K. / Tsuruta, K. | British Library Online Contents | 2006


    Convoluted Nozzle Extension

    LEE CAREY / JOHN DUERINGER / AND GEOFFREY NIXON | AIAA | 1972


    Convoluted nozzle extension

    CAREY, L. / DUERINGER, J. / NIXON, G. | AIAA | 1971


    Criterion for Blind Signals Separation Based on Correlation Function(P)

    You, S. / Zhong-kan, L. / Qi-han, L. | British Library Online Contents | 2003


    Blind Source Separation of Speech Signals based on an Ica Geometric Procedure

    Rodriguez-Alvarez, M. / Rojas, F. / Salmeron, M. et al. | British Library Conference Proceedings | 2003