báo cáo hóa học:" Research Article Adaptive V/UV Speech Detection Based on Characterization of Background Noise"

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 Adaptive V/UV Speech Detection Based on Characterization of Background Noise | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2009 Article ID 965436 12 pages doi 2009 965436 Research Article Adaptive V UV Speech Detection Based on Characterization of Background Noise F. Beritelli 1 S. Casale 1 A. Russo 1 and S. Serrano2 1 Dipartimento di Ingegneria Informatica e delle Telecomunicazioni Universita degli Studi di Catania Viale Andrea Doria 6 95125 Catania Italy 2Dipartimento di Fisica della Materia e Ingegneria Elettronica Universita di Messina Salita Sperone 31 98166 Messina Italy Correspondence should be addressed to S. Serrano sserrano@ Received 9 October 2008 Revised 24 February 2009 Accepted 24 June 2009 Recommended by Gerhard Rigoll The paper presents an adaptive system for Voiced Unvoiced V UV speech detection in the presence of background noise. Genetic algorithms were used to select the features that offer the best V UV detection according to the output of a background Noise Classifier NC and a Signal-to-Noise Ratio Estimation SNRE system. The system was implemented and the tests performed using the TIMIT speech corpus and its phonetic classification. The results were compared with a nonadaptive classification system and the V UV detectors adopted by two important speech coding standards the V UV detection system in the ETSI ES 202 212 and the speech classification in the Selectable Mode Vocoder SMV algorithm. In all cases the proposed adaptive V UV classifier outperforms the traditional solutions giving an improvement of 25 in very noisy environments. Copyright 2009 F. Beritelli 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. 1. Introduction The issue of Voicing Detection Algorithms VDAs has been one of the topics most analysed in the field of speech processing research during the last three

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