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Nonlinear Dynamic Feature Extraction Based on Phase Space Reconstruction for the Classification of Speech and Emotion
المؤلفون المشاركون
Zhang, Xueying
Sun, Ying
Ma, Jiang-He
Song, Chun-Xiao
Lv, Hui-Fen
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-09
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Due to the shortcomings of linear feature parameters in speech signals, and the limitations of existing time- and frequency-domain attribute features in characterizing the integrity of the speech information, in this paper, we propose a nonlinear method for feature extraction based on the phase space reconstruction (PSR) theory.
First, the speech signal was analyzed using a nonlinear dynamic model.
Then, the model was used to reconstruct a one-dimensional time speech signal.
Finally, nonlinear dynamic (NLD) features based on the reconstruction of the phase space were extracted as the new characteristic parameters.
Then, the performance of NLD features was verified by comparing their recognition rates with those of other features (NLD features, prosodic features, and MFCC features).
Finally, the Korean isolated words database, the Berlin emotional speech database, and the CASIA emotional speech database were chosen for validation.
The effectiveness of the NLD features was tested using the Support Vector Machine classifier.
The results show that NLD features not only have high recognition rate and excellent antinoise performance for speech recognition tasks but also can fully characterize the different emotions contained in speech signals.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sun, Ying& Zhang, Xueying& Ma, Jiang-He& Song, Chun-Xiao& Lv, Hui-Fen. 2020. Nonlinear Dynamic Feature Extraction Based on Phase Space Reconstruction for the Classification of Speech and Emotion. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1202239
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sun, Ying…[et al.]. Nonlinear Dynamic Feature Extraction Based on Phase Space Reconstruction for the Classification of Speech and Emotion. Mathematical Problems in Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1202239
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sun, Ying& Zhang, Xueying& Ma, Jiang-He& Song, Chun-Xiao& Lv, Hui-Fen. Nonlinear Dynamic Feature Extraction Based on Phase Space Reconstruction for the Classification of Speech and Emotion. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1202239
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1202239
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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