báo cáo hóa học:" Research Article Jitter Estimation Algorithms for Detection of Pathological Voices"

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 Jitter Estimation Algorithms for Detection of Pathological Voices | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 567875 9 pages doi 2009 567875 Research Article Jitter Estimation Algorithms for Detection of Pathological Voices Darcio G. Silva 1 Luis C. Oliveira 1 and Mario Andrea2 1INESC-ID IST Lisbon 1649-028 Lisbon Portugal 2 Faculty of Medicine University of Lisbon Portugal Correspondence should be addressed to Luis C. Oliveira lco@ Received 27 November 2008 Revised 15 April 2009 Accepted 30 June 2009 Recommended by Juan I. Godino-Llorente This work is focused on the evaluation of different methods to estimate the amount of jitter present in speech signals. The jitter value is a measure of the irregularity of a quasiperiodic signal and is a good indicator of the presence of pathologies in the larynx such as vocal fold nodules or a vocal fold polyp. Given the irregular nature of the speech signal each jitter estimation algorithm relies on its own model making a direct comparison of the results very difficult. For this reason the evaluation of the different jitter estimation methods was target on their ability to detect pathological voices. Two databases were used for this evaluation a subset of the MEEI database and a smaller database acquired in the scope of this work. The results showed that there were significant differences in the performance of the algorithms being evaluated. Surprisingly in the largest database the best results were not achieved with the commonly used relative jitter measured as a percentage of the glottal cycle but with absolute jitter values measured in microseconds. Also the new proposed measure for jitter LocJitt performed in general is equal to or better than the commonly used tools of MDVP and Praat. Copyright 2009 Darcio G. Silva 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

Không thể tạo bản xem trước, hãy bấm tải xuống
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.