A Database for Automatic Persian Speech Emotion Recognition: Collection,Processing and Evaluation

  • سال انتشار: 1392
  • محل انتشار: ماهنامه بین المللی مهندسی، دوره: 27، شماره: 1
  • کد COI اختصاصی: JR_IJE-27-1_003
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 812
دانلود فایل این مقاله

نویسندگان

z Esmaileyan

Department of Electrical engineering, Science and Research branch, Islamic Azad University, Shahrood, Iran

h Marvi

Department of Electrical engineering and Robotics, Shahrood University of technology, Shahrood, Iran

چکیده

Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popularmethod of communication, recognizing human emotions from speech signal becomes a challengingresearch topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian emotional speech corpus collected from emotional sentences of drama radio programs. Moreover, we propose a new automatic speech emotion recognition system which is used both for spectral and prosodicfeature simultaneously. We compare the proposed database with the public and widely used Berlin database. The proposed SER system is developed for females and males separately. Then, irrelevant features are removed using Fisher Discriminant Ratio (FDR) filtering feature selection technique. Theselected features are further reduced in dimensions using Linear Discriminant Analysis (LDA) embeddingfeature reduction scheme. Finally, the samples are classified by a LDA classifier. The overall recognition rate of 55.74% and 47.28% is achieved on proposed database for females and males, respectively. Also, the average recognition rate of 78.64% and 73.40% are obtained for Berlin database for females and males, respectively.

کلیدواژه ها

Persian Emotional Speech Database,PDREC,Speech Emotion Recognition

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.