TAILIEUCHUNG - Báo cáo hóa học: " Research Article Robust Emotional Stressed Speech Detection Using Weighted Frequency Subbands"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Robust Emotional Stressed Speech Detection Using Weighted Frequency Subbands | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011 Article ID 906789 10 pages doi 2011 906789 Research Article Robust Emotional Stressed Speech Detection Using Weighted Frequency Subbands John H. L. Hansen Wooil Kim Mandar Rahurkar Evan Ruzanski and James Meyerhoff Center for Robust Speech Systems CRSS Erik Jonsson School of Engineering and Computer Science The University of Texas at Dallas Richardson TX 75083-0688 USA Correspondence should be addressed to John H. L. Hansen Received 25 September 2010 Revised 10 December 2010 Accepted 10 February 2011 Academic Editor Julien Epps Copyright 2011 John H. L. Hansen et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The problem of detecting psychological stress from speech is challenging due to differences in how speakers convey stress. Changes in speech production due to speaker state are not linearly dependent on changes in stress. Research is further complicated by the existence of different stress types and the lack of metrics capable of discriminating stress levels. This study addresses the problem of automatic detection of speech under stress using a previously developed feature extraction scheme based on the Teager Energy Operator TEO . To improve detection performance a i selected sub-band frequency partitioned weighting scheme and ii weighting scheme for all frequency bands are proposed. Using the traditional TEO-based feature vector with a closed-speaker Hidden Markov Model-trained stressed speech classifier error rates of for stress neutral speech are obtained. With the new weighted sub-band detection scheme closed-speaker error rates are reduced to for stress neutral detection with a relative error reduction of respectively. For the open-speaker

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