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
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