US 12,334,099 B2
Efficient blind source separation using topological approach
Liangfu Chen, Shanghai (CN); Zhilei Liu, Shanghai (CN); Guoxia Zhang, Shanghai (CN); and Min Xu, Shanghai (CN)
Assigned to Harman International Industries, Incorporated, Stamford, CT (US)
Appl. No. 17/923,884
Filed by HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED, Stamford, CT (US)
PCT Filed May 15, 2020, PCT No. PCT/CN2020/090491
§ 371(c)(1), (2) Date Nov. 7, 2022,
PCT Pub. No. WO2021/226999, PCT Pub. Date Nov. 18, 2021.
Prior Publication US 2023/0223036 A1, Jul. 13, 2023
Int. Cl. G10L 21/0308 (2013.01); G10L 21/14 (2013.01); G10L 25/18 (2013.01); H04R 1/40 (2006.01); H04R 3/00 (2006.01); H04R 3/12 (2006.01)
CPC G10L 21/0308 (2013.01) [G10L 21/14 (2013.01); G10L 25/18 (2013.01); H04R 1/406 (2013.01); H04R 3/005 (2013.01); H04R 3/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for blind source separation using a topological approach, the method comprising:
receiving, in at least two microphones, mixtures comprising at least two mixed audio streams;
converting, in a first subsystem, the mixtures to time-frequency space features, and constructing a two-dimensional smoothed weighted histogram;
separating, in a second subsystem, the at least two mixed audio streams by locating peak locations in the two-dimensional smoothed weighted histogram to provide at least two separated audio streams; and
recovering, in a third subsystem, the at least two separated audio streams, respectively,
wherein locating the peak locations further comprises the steps of:
constructing a contour tree structure in the two-dimensional smoothed weighted histogram; and
simplifying the contour tree structure.