Orange

Mathieu Baque

Alexandre Guerin

A method for processing sound data for separating N sound sources of a multichannel sound signal sensed in a real medium. The method includes: separating sources to the sensed multichannel signal and obtaining a separation matrix and a set of M sound components, with M&#x2265;N; calculating a set of bi-variate first descriptors representative of statistical relations between the components of the pairs of the set obtained of M components, calculating a set of uni-variate second descriptors representative of characteristics of encoding of the components of the set obtained of M components; and classifying the components of the set of M components, according to two classes of components, a first class of N direct components corresponding to the N direct sound sources and a second class of M&#x2212;N reverberated components, by calculating probability of membership in one of the two classes, dependent on the sets of first and second descriptors.

Processing of sound data for separating sound sources in a multichannel signal

A method implemented by a processing device for processing an ambisonic content including a plurality of ambisonic components of a plurality of orders defining a succession of ambisonic channels in each of which an ambisonic component is represented. The method includes: frequency filtering of the ambisonic components in a plurality of frequency bands, compiling an ambisonic decoding matrix, processing the ambisonic decoding matrix in order to extract, by matrix dimension reduction, a plurality of ambisonic decoding sub-matrices each associated with an ambisonic order and a frequency band selected for this ambisonic order, respective applications of the decoding sub-matrices to the ambisonic components in each selected frequency band, and a reconstruction, band by band, of the results of said respective applications, in order to deliver a plurality of decoded signals, each associated with a sound source.

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Chatillon, France

Mathieu Baque