Abstract

ABSTRACT: Identification of RTF (Relative Transfer Function) between sensors is essential to multichannel speech enhancement system. In this paper, we present an approach for estimating the relative transfer function of speech signal. This method adapts a CASA (Computational Auditory Scene Analysis) technique to the conventional OM-LSA (Optimally-Modified Log-Spectral Amplitude) based approach. Evaluation of the proposed approach is performed under simulated stationary and nonstationary WGN (White Gaussian Noise). Experimental results confirm advantages of the proposed approach.Keywords: System identification, Relative transfer function, Multi-microphone sp eech enhancement PACS numbers: 43.60. Fg†Corresponding author: Hanseok Ko (hsko@korea.ac.kr)Engineering building room 419 or room 439 Department of Electronics and Computer Engineering, Korea University Anam Campus, Anam- Dong 5-Ga, Seongbuk-Gu, Seoul 136-713, Republic of Korea(Tel: 82-2-3290-3239, Fax: 82-) 한국음향학회지 제 33권 제1호 pp. 54~59 (2014)The Journal of the Acoustical Society of Korea Vol.33, No.1 (2014)http://dx.doi.org/10.7776/ASK.2014.33.1.054

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.