Statistical analysis of complementary spectral features of emotional speech in Czech and Slovak

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6836 LNAI, Issue , 2011, Pages 299-306

  Přibil, Jiří ^a,b   Přibilová, Anna ^c  

^a INSTITUTE OF MEASUREMENT SCIENCE   (Slovakia)

^b INSTITUTE OF PHOTONICS AND ELECTRONICS   (Czech Republic)

^c SLOVAK UNIVERSITY OF TECHNOLOGY   (Slovakia)

Author keywords

emotional speech; spectral features of speech; statistical analysis

Indexed keywords

EMOTIONAL SPEECH; SHANNON ENTROPY; SLOVAK LANGUAGES; SPECTRAL FEATURE; SPECTRAL FLATNESS; SPEECH SIGNALS; VOCAL-TRACTS;

STATISTICAL METHODS;

SPEECH ANALYSIS;

EID: 80052706006     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23538-2_38     Document Type: Conference Paper

References (9)

1. Scherer, K.R.: Vocal Communication of Emotion: A Review of Research Paradigms. Speech Communication 40, 227-256 (2003)
2. Iriondo, I., Planet, S., Socoró, J.-C., Martínez, E., Alías, F., Monzo, C.: Automatic Refinement of an Expressive Speech Corpus Assembling Subjective Perception and Automatic Classification. Speech Communication 51, 744-758 (2009)
3. Luengo, I., Navas, E., Hernáez, I.: Feature Analysis and Evaluation for Automatic Emotion Identification in Speech. IEEE Transactions on Multimedia 12, 490-501 (2010)
4. Barra, R., Montero, J.M., Marcías-Guarasa, J., D'Haro, L.F., San-Segundo, R., Córdoba, R.: Prosodic and Segmental Rubrics in Emotion Identification. In: Proceedings of 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, pp. I-1085-I-1088 (2006)
5. Ververidis, D., Kotropoulos, C.: Emotional Speech Recognition: Resources, Features, and Methods. Speech Communication 48, 1162-1181 (2006)
6. Hosseinzadeh, D., Krishnan, S.: On the Use of Complementary Spectral Features for Speaker Recognition. EURASIP Journal on Advances in Signal Processing, Article ID 258184,10 (2008)
7. Vích, R.: Cepstral Speech Model, Padé Approximation, Excitation, and Gain Matching in Cepstral Speech Synthesis. In: Proceedings of the 15th Biennial EURASIP Conference Biosignal 2000, Brno, Czech Republic, pp. 77-82 (2000)
8. Li, X., Liu, H., Zheng, Y., Xu, B.: Robust Speech Endpoint Detection Based on Improved Adaptive Band-Partitioning Spectral Entropy. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds.) LSMS 2007. LNCS, vol. 4688, pp. 36-45. Springer, Heidelberg (2007)
9. Lee, W.-S., Roh, Y.-W., Kim, D.-J., Kim, J.-H., Hong, K.-S.: Speech Emotion Recognition Using Spectral Entropy. In: Xiong, C., Liu, H., Huang, Y., Xiong, Y. (eds.) ICIRA 2008. LNCS (LNAI), vol. 5315, pp. 45-54. Springer, Heidelberg (2008)