Recognition of Emotion Using Non-Linear Dynamics of Speech

被引：0

作者：

Harimi, Ali ^{[1
]}

Shalizadi, Ali ^{[1
]}

Ahmadyfard, Alireza ^{[2
]}

机构：

[1] Semnan Univ, Dept Elect & Comp Engn, Semnan, Iran

[2] Shahrood Univ, Dept Elect Engn, Shahrood, Iran

来源：

2014 7th International Symposium on Telecommunications (IST) | 2014年

关键词：

Speech emotion recognition; Phase Space Reconstruction; Non-Linear Dynamic features; SPECTRAL FEATURES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recognition of human's emotion from speech has become one of the most challenging and attractive fields of research in speech processing area. The present study aimed to detect valence of emotions, using Non-Linear Dynamic features (NLDs). NLDs are extracted from the Discrete Cosine Transform (DCT) of descriptor contours computed from Phase Space Reconstruction (PSR) of speech. These features are used to estimate emotion primitives in 3D continuous emotion space on the VAM database using Support Vector Regression (SVR) under the Leave-One-Out (LOO) testing technique. Feature selection is performed using Sequential Forward Selection (SFS). Activation, valence and dominance of emotions are estimated by the best correlation of 85.06%, 53.39% and 84.68%, respectively.

引用

页码：446 / 451

页数：6

共 50 条

[1] Automatic Emotion Recognition in Compressed Speech Using Acoustic and Non-Linear Features
Garcia, N.
Vasquez-Correa, J. C.
Arias-Londono, J. D.
Vargas-Bonilla, J. F.
Orozco-Arroyave, J. R.
[J]. 2015 20TH SYMPOSIUM ON SIGNAL PROCESSING, IMAGES AND COMPUTER VISION (STSIVA), 2015,
[2] Non-linear frequency warping using constant-Q transformation for speech emotion recognition
Singh, Premjeet
Saha, Goutam
Sahidullah, Md
[J]. 2021 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2021,
[3] Speech Emotion Recognition Using Non-Linear Teager Energy Based Features in Noisy Environments
Georgogiannis, Alexandros
Digalakis, Vassilis
[J]. 2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2012, : 2045 - 2049
[4] Emotion classification from speech signal based on empirical mode decomposition and non-linear features Speech emotion recognition
Krishnan, Palani Thanaraj
Alex Noel, Joseph Raj
Rajangam, Vijayarajan
[J]. COMPLEX & INTELLIGENT SYSTEMS, 2021, 7 (04) : 1919 - 1934
[5] Emotion classification from speech signal based on empirical mode decomposition and non-linear featuresSpeech emotion recognition
Palani Thanaraj Krishnan
Alex Noel Joseph Raj
Vijayarajan Rajangam
[J]. Complex & Intelligent Systems, 2021, 7 : 1919 - 1934
[6] Non-linear techniques for robust speech recognition
Ge, Yubo
Niu, Jing
Ge, Lingnan
Shirai, Katsuhiko
[J]. CITSA 2007/CCCT 2007: INTERNATIONAL CONFERENCE ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS AND APPLICATIONS : INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL III, POST-CONFERENCE ISSUE, PROCEEDINGS, 2007, : 134 - +
[7] Correction to: Emotion classification from speech signal based on empirical mode decomposition and non-linear featuresSpeech emotion recognition
Palani Thanaraj Krishnan
Alex Noel Joseph Raj
Vijayarajan Rajangam
[J]. Complex & Intelligent Systems, 2022, 8 : 703 - 703
[8] Non-linear independent component analysis for speech recognition
Omar, MK
Hasegawa-Johnson, M
[J]. CCCT 2003, VOL6, PROCEEDINGS: COMPUTER, COMMUNICATION AND CONTROL TECHNOLOGIES: III, 2003, : 204 - 209
[9] Speech emotion recognition using nonlinear dynamics features
Shahzadi, Ali
Ahmadyfard, Alireza
Harimi, Ali
Yaghmaie, Khashayar
[J]. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2015, 23 : 2056 - 2073
[10] Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech
Vasquez-Correa, J. C.
Orozco-Arroyave, J. R.
Arias-Londono, J. D.
Vargas-Bonilla, J. F.
Noth, Elmar
[J]. RECENT ADVANCES IN NONLINEAR SPEECH PROCESSING, 2016, 48 : 199 - 207

← 1 2 3 4 5 →