Fusion of mel and gammatone frequency cepstral coefficients for speech emotion recognition using deep C-RNN

被引：0
作者：
Kumaran, U. [1 ]
Radha Rammohan, S. [2 ]
Nagarajan, Senthil Murugan [3 ]
Prathik, A. [4 ]
机构：
[1] School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India
[2] Department of Computer Applications, Dr MGR Educational and Research Institute, Maduravoyal, Chennai, India
[3] Department of Computer Science and Engineering, AIT, Chandigarh University, Chandigarh,Punjab, India
[4] Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
来源：
International Journal of Speech Technology | 2021年 / 24卷 / 02期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
34
引用
收藏
页码：303 / 314
相关论文
共 50 条
[31]   Chicken Sound Recognition using Anti-noise Mel Frequency Cepstral Coefficients [J].
Lin, Ming ;
Zhong, Shangping ;
Lin, Lingli .
2015 THIRD INTERNATIONAL CONFERENCE ON ROBOT, VISION AND SIGNAL PROCESSING (RVSP), 2015, :224-227
[32]   Mel Frequency Cepstral Coefficients Based Similar Albanian Phonemes Recognition [J].
Karahoda, Bertan ;
Pireva, Krenare ;
Imran, Ali Shariq .
HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INFORMATION, DESIGN AND INTERACTION, PT I, 2016, 9734 :491-500
[33]   Analysis and prediction of acoustic speech features from mel-frequency cepstral coefficients in distributed speech recognition architectures [J].
Darch, Jonathan ;
Milner, Ben ;
Vaseghi, Saeed .
Journal of the Acoustical Society of America, 2009, 124 (06) :3989-4000
[34]   Analysis and prediction of acoustic speech features from mel-frequency cepstral coefficients in distributed speech recognition architectures [J].
Darch, Jonathan ;
Milner, Ben ;
Vaseghi, Saeed .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2008, 124 (06) :3989-4000
[35]   A comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an Automatic Bird Species Recognition System [J].
Pedroza Ramirez, Angel David ;
de la Rosa Vargas, Jose Ismael ;
Rosas Valdez, Rogelio ;
Becerra, Aldonso .
2018 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI), 2018,
[36]   Palmprint recognition based on Mel frequency Cepstral coefficients feature extraction [J].
Fahmy, Maged M. M. .
AIN SHAMS ENGINEERING JOURNAL, 2010, 1 (01) :39-47
[37]   Mel-Frequency Cepstral Coefficients as Features for Automatic Speaker Recognition [J].
Jokic, Ivan D. ;
Jokic, Stevan D. ;
Delic, Vlado D. ;
Peric, Zoran H. .
2015 23RD TELECOMMUNICATIONS FORUM TELFOR (TELFOR), 2015, :419-424
[38]   A New Approach for Fingerprint Recognition Based on Mel Frequency Cepstral Coefficients [J].
Hashad, F. G. ;
Halim, T. M. ;
Diab, S. M. ;
Sallam, B. M. .
2009 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND SYSTEMS (ICCES 2009), 2009, :263-+
[39]   Mel Frequency Cepstral Coefficients Based Text Independent Automatic Speaker Recognition Using Matlab [J].
Singh, Amit Kumar ;
Singh, Rohit ;
Dwivedi, Ashutosh .
PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON RELIABILTY, OPTIMIZATION, & INFORMATION TECHNOLOGY (ICROIT 2014), 2014, :524-527
[40]   Text independent speaker recognition using the Mel frequency cepstral coefficients and a neural network classifier [J].
Seddik, H ;
Rahmouni, A ;
Sayadi, M .
ISCCSP : 2004 FIRST INTERNATIONAL SYMPOSIUM ON CONTROL, COMMUNICATIONS AND SIGNAL PROCESSING, 2004, :631-634
12345