DocumentCode :
3348620
Title :
Semi-blind source separation using head-related transfer functions [speech signal separation]
Author :
Pedersen, Michael Syskind ; Kjems, Ulrik ; Rasmussen, Karsten Bo ; Hansen, Lars Kai
Author_Institution :
Oticon A/S, Hellerup, Denmark
Volume :
5
fYear :
2004
fDate :
17-21 May 2004
Abstract :
An online blind source separation algorithm, which is a special case of the geometric algorithm by Parra and Fancourt (Book chapt. in: Noise Reduction in Speech App., Ed. Gillian Davis, CRC Press LLC, 2002), has been implemented for the purpose of separating sounds recorded by microphones placed at each side of the head. By using the assumption that the position of the two sounds are known, the source separation algorithm has been geometrically constrained. Since the separation takes place in a non free-field, a head-related transfer function (HRTF) is used to simulate the response between microphones placed at the two ears. The use of an HRTF, instead of assuming free-field, improves the separation by approximately 1 dB, compared to when free-field is assumed. This indicates that the permutation ambiguity is solved more accurately compared to when free-field is assumed.
Keywords :
audio signal processing; blind source separation; transfer functions; HRTF; constrained geometric algorithms; head side positioned microphones; head-related transfer functions; microphone recorded sounds; nonfree-field separation; online blind source separation; permutation ambiguity; semi-blind source separation; Blind source separation; Books; Cyclic redundancy check; Ear; Magnetic heads; Microphones; Noise reduction; Source separation; Speech enhancement; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1327210
Filename :
1327210
Link To Document :
بازگشت