The audio epitome: A new representation for modeling and classifying auditory phenomena

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn V, Issue , 2005, Pages

  Kapoor, Ashish ^a   Basu, Sumit ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; LEARNING SYSTEMS; SPEECH SYNTHESIS;

AUDITORY ENVIRONMENTS; GAUSSIANS; IMAGE REPRESENTATION; TRAINING DATA;

CLASSIFICATION (OF INFORMATION);

EID: 33646801643     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416272     Document Type: Conference Paper

References (5)

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2. G. Guo and S. Z. Li, "Content-Based Audio Classification," IEEE Transactions on Neural Networks, Vol 14 (1), Jan. 2003.
3. N. Jojic, B. Frey and A. Kannan, "Epitomic Analysis of Appearance and Shape," Proceedings of International Conference on Computer Vision 2003, Nice, France.
4. M. J. Reyes-Gomez and D. P. W. Ellis, "Selection, Parameter Estimation and Discriminative Training of Hidden Markov Models for General Audio Modeling," Proceedings of International Conference on Multimedia and Expo 2003, Baltimore, USA.
5. T. Zhang, C. C. J. Kuo, "Heuristic Approach for Audio Data Segmentation and Annotation," Proceedings of ACM International Conference on Multimedia 1999, Orlando, USA.