Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
10978 | 1019 | 43.1 | 40% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
26 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//PATTERN RECOGNITION//COMPUTER SCIENCE, SOFTWARE ENGINEERING | 111824 |
791 | 2 | FACE RECOGNITION//BIOMETRICS//IRIS RECOGNITION | 12126 |
10978 | 1 | AFFECTIVE COMPUTING//SPEECH EMOTION RECOGNITION//EMOTION RECOGNITION | 1019 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | AFFECTIVE COMPUTING | authKW | 1592943 | 13% | 41% | 129 |
2 | SPEECH EMOTION RECOGNITION | authKW | 968642 | 4% | 79% | 41 |
3 | EMOTION RECOGNITION | authKW | 649534 | 14% | 16% | 139 |
4 | IEEE TRANSACTIONS ON AFFECTIVE COMPUTING | journal | 580054 | 6% | 31% | 63 |
5 | EMOTIONAL SPEECH | authKW | 270601 | 2% | 53% | 17 |
6 | SPEECH UNDER STRESS | authKW | 220644 | 1% | 82% | 9 |
7 | EMOTION DETECTION | authKW | 220626 | 2% | 41% | 18 |
8 | EMOTION CLASSIFICATION | authKW | 210672 | 1% | 47% | 15 |
9 | EMOTIONAL SPEECH RECOGNITION | authKW | 179787 | 1% | 100% | 6 |
10 | HUMAN MACHINE COMMUN | address | 178542 | 2% | 28% | 21 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Cybernetics | 40352 | 19% | 1% | 190 |
2 | Computer Science, Artificial Intelligence | 19013 | 36% | 0% | 364 |
3 | Ergonomics | 4470 | 6% | 0% | 64 |
4 | Acoustics | 2996 | 11% | 0% | 107 |
5 | Computer Science, Software Engineering | 2617 | 12% | 0% | 123 |
6 | Computer Science, Information Systems | 2040 | 12% | 0% | 123 |
7 | Computer Science, Theory & Methods | 1954 | 13% | 0% | 128 |
8 | Computer Science, Interdisciplinary Applications | 1399 | 11% | 0% | 107 |
9 | Engineering, Electrical & Electronic | 1329 | 23% | 0% | 233 |
10 | Telecommunications | 455 | 6% | 0% | 63 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | HUMAN MACHINE COMMUN | 178542 | 2% | 28% | 21 |
2 | MACHINE INTELLIGENCE SIGNAL PROC GRP | 100924 | 1% | 42% | 8 |
3 | IIKT | 89893 | 0% | 100% | 3 |
4 | MULTIMODAL SIGNAL PROC | 89893 | 0% | 100% | 3 |
5 | TWIN CITY OFF | 89893 | 0% | 100% | 3 |
6 | CHAIR COMPLEX SYST ENGN | 59929 | 0% | 100% | 2 |
7 | INFORMAT HUMAN COMP | 59929 | 0% | 100% | 2 |
8 | KARAKTER UC | 59929 | 0% | 100% | 2 |
9 | MULTIMODAL COMMUN MACHINE LEARNING | 59929 | 0% | 100% | 2 |
10 | TECNOL AUDIOVISUALES | 59929 | 0% | 100% | 2 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | IEEE TRANSACTIONS ON AFFECTIVE COMPUTING | 580054 | 6% | 31% | 63 |
2 | SPEECH COMMUNICATION | 50667 | 6% | 3% | 59 |
3 | JOURNAL ON MULTIMODAL USER INTERFACES | 45762 | 2% | 8% | 18 |
4 | INTERACTING WITH COMPUTERS | 26019 | 3% | 3% | 28 |
5 | COMPUTER SPEECH AND LANGUAGE | 20044 | 2% | 3% | 22 |
6 | USER MODELING AND USER-ADAPTED INTERACTION | 16018 | 1% | 4% | 12 |
7 | EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING | 13211 | 1% | 4% | 11 |
8 | COGNITIVE COMPUTATION | 9020 | 1% | 3% | 11 |
9 | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES | 6744 | 2% | 1% | 19 |
10 | IEEE TRANSACTIONS ON MULTIMEDIA | 6616 | 2% | 1% | 21 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | AFFECTIVE COMPUTING | 1592943 | 13% | 41% | 129 | Search AFFECTIVE+COMPUTING | Search AFFECTIVE+COMPUTING |
2 | SPEECH EMOTION RECOGNITION | 968642 | 4% | 79% | 41 | Search SPEECH+EMOTION+RECOGNITION | Search SPEECH+EMOTION+RECOGNITION |
3 | EMOTION RECOGNITION | 649534 | 14% | 16% | 139 | Search EMOTION+RECOGNITION | Search EMOTION+RECOGNITION |
4 | EMOTIONAL SPEECH | 270601 | 2% | 53% | 17 | Search EMOTIONAL+SPEECH | Search EMOTIONAL+SPEECH |
5 | SPEECH UNDER STRESS | 220644 | 1% | 82% | 9 | Search SPEECH+UNDER+STRESS | Search SPEECH+UNDER+STRESS |
6 | EMOTION DETECTION | 220626 | 2% | 41% | 18 | Search EMOTION+DETECTION | Search EMOTION+DETECTION |
7 | EMOTION CLASSIFICATION | 210672 | 1% | 47% | 15 | Search EMOTION+CLASSIFICATION | Search EMOTION+CLASSIFICATION |
8 | EMOTIONAL SPEECH RECOGNITION | 179787 | 1% | 100% | 6 | Search EMOTIONAL+SPEECH+RECOGNITION | Search EMOTIONAL+SPEECH+RECOGNITION |
9 | STRESS CLASSIFICATION | 173359 | 1% | 64% | 9 | Search STRESS+CLASSIFICATION | Search STRESS+CLASSIFICATION |
10 | STRESSED SPEECH | 149822 | 0% | 100% | 5 | Search STRESSED+SPEECH | Search STRESSED+SPEECH |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | SHEIKHAN, M , BEJANI, M , GHARAVIAN, D , (2013) MODULAR NEURAL-SVM SCHEME FOR SPEECH EMOTION RECOGNITION USING ANOVA FEATURE SELECTION METHOD.NEURAL COMPUTING & APPLICATIONS. VOL. 23. ISSUE 1. P. 215-227 | 36 | 95% | 7 |
2 | D'MELLO, SK , KORY, J , (2015) A REVIEW AND META-ANALYSIS OF MULTIMODAL AFFECT DETECTION SYSTEMS.ACM COMPUTING SURVEYS. VOL. 47. ISSUE 3. P. - | 35 | 64% | 8 |
3 | NOVAK, D , MIHELJ, M , MUNIH, M , (2012) A SURVEY OF METHODS FOR DATA FUSION AND SYSTEM ADAPTATION USING AUTONOMIC NERVOUS SYSTEM RESPONSES IN PHYSIOLOGICAL COMPUTING.INTERACTING WITH COMPUTERS. VOL. 24. ISSUE 3. P. 154 -172 | 40 | 55% | 24 |
4 | GHARAVIAN, D , SHEIKHAN, M , ASHOFTEDEL, F , (2013) EMOTION RECOGNITION IMPROVEMENT USING NORMALIZED FORMANT SUPPLEMENTARY FEATURES BY HYBRID OF DTW-MLP-GMM MODEL.NEURAL COMPUTING & APPLICATIONS. VOL. 22. ISSUE 6. P. 1181-1191 | 22 | 96% | 4 |
5 | GHARAVIAN, D , SHEIKHAN, M , NAZERIEH, A , GAROUCY, S , (2012) SPEECH EMOTION RECOGNITION USING FCBF FEATURE SELECTION METHOD AND GA-OPTIMIZED FUZZY ARTMAP NEURAL NETWORK.NEURAL COMPUTING & APPLICATIONS. VOL. 21. ISSUE 8. P. 2115 -2126 | 23 | 88% | 14 |
6 | SUN, YX , WEN, GH , WANG, JB , (2015) WEIGHTED SPECTRAL FEATURES BASED ON LOCAL HU MOMENTS FOR SPEECH EMOTION RECOGNITION.BIOMEDICAL SIGNAL PROCESSING AND CONTROL. VOL. 18. ISSUE . P. 80 -90 | 20 | 80% | 6 |
7 | JANSSEN, JH , TACKEN, P , DE VRIES, JJG , VAN DEN BROEK, EL , WESTERINK, JHDM , HASELAGER, P , IJSSELSTEIJN, WA , (2013) MACHINES OUTPERFORM LAYPERSONS IN RECOGNIZING EMOTIONS ELICITED BY AUTOBIOGRAPHICAL RECOLLECTION.HUMAN-COMPUTER INTERACTION. VOL. 28. ISSUE 6. P. 479-517 | 37 | 47% | 4 |
8 | MILTON, A , SELVI, ST , (2014) CLASS-SPECIFIC MULTIPLE CLASSIFIERS SCHEME TO RECOGNIZE EMOTIONS FROM SPEECH SIGNALS.COMPUTER SPEECH AND LANGUAGE. VOL. 28. ISSUE 3. P. 727-742 | 16 | 94% | 7 |
9 | SHEIKHAN, M , ARABI, MA , GHARAVIAN, D , (2015) STRUCTURE AND WEIGHTS OPTIMISATION OF A MODIFIED ELMAN NETWORK EMOTION CLASSIFIER USING HYBRID COMPUTATIONAL INTELLIGENCE ALGORITHMS: A COMPARATIVE STUDY.CONNECTION SCIENCE. VOL. 27. ISSUE 4. P. 340 -357 | 31 | 48% | 0 |
10 | WANG, SF , JI, Q , (2015) VIDEO AFFECTIVE CONTENT ANALYSIS: A SURVEY OF STATE-OF-THE-ART METHODS.IEEE TRANSACTIONS ON AFFECTIVE COMPUTING. VOL. 6. ISSUE 4. P. 410 -430 | 25 | 54% | 2 |
Classes with closest relation at Level 1 |