tailieunhanh - báo cáo hóa học:" Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài :Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test | EURASIP Journal on Audio Speech and Music Processing SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test EURASIP Journal on Audio Speech and Music Processing 2011 2011 12 doi 1687-4722-2011-12 Shiwen Deng dengswen@ Jiqing Han jqhan@ ISSN 1687-4722 Article type Research Submission date 29 June 2011 Acceptance date 21 December 2011 Publication date 21 December 2011 Article URL http content 2011 1 12 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in EURASIP ASMP go to http authors instructions For information about other SpringerOpen publications go to http 2011 Deng and Han licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test Shiwen Deng1 2 and Jiqing Han 1 1 School of Computer Science and Technology Harbin Institute of Technology Harbin China 2 School of Mathematical Sciences Harbin Normal University Harbin China Corresponding author jqhan@ Email address SD dengswen@ Abstract Most of voice activity detection VAD schemes are operated in the discrete Fourier transform DFT domain by classifying each sound frame into speech or noise based on the DFT coefficients. These coefficients are used as features in VAD and thus the robustness of these features has an .