Signal processing based segmentation and hmm based acoustic clustering of syllable segments for low bit rate segment vocoder at 1.4 Kbps.
Sadhana Chevireddy, Hema A. Murthy, C. Chandra Sekhar
Appeared in
2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008 (EUSIPCO 2008),
pp.1-5, Aug 2008.
A density based method for multivariate time series clustering in kernel feature space.
S. Chandrakala, C. Chandra Sekhar
Appeared in
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008,
pp.1885-1890, Jun 2008.
Hyperparameters of Gaussian process as features for trajectory classification.
G. Haranadh, C. Chandra Sekhar
Appeared in
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008,
pp.2195-2199, Jun 2008.
Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons.
Lakshmi Narayana Panuku, C. Chandra Sekhar
Appeared in
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I (ICONIP 2007),
Lecture Notes in Computer Science, Vol 4984, pp.73-82, Nov 2007.
Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching.
Venkataramana B. Kini, C. Chandra Sekhar
Appeared in
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II (ICONIP 2007),
Lecture Notes in Computer Science, Vol 4985, pp.11-20, Nov 2007.
Clustering of Nonlinearly Separable Data Using Spiking Neural Networks.
Lakshmi Narayana Panuku, C. Chandra Sekhar
Appeared in
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I (ICANN 2007),
Lecture Notes in Computer Science, Vol 4668, pp.390-399, Sep 2007.
Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts.
H. Swethalakshmi, C. Chandra Sekhar, V. Srinivasa Chakravarthy
Appeared in
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II (ICANN 2007),
Lecture Notes in Computer Science, Vol 4669, pp.230-239, Sep 2007.
Local Density Estimation based Clustering.
Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar
Appeared in
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007 (IJCNN 2007),
pp.1249-1254, Aug 2007.
Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines.
R. Anitha 0003, C. Chandra Sekhar
Appeared in
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007 (IJCNN 2007),
pp.1512-1517, Aug 2007.
Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space.
R. Anitha 0003, C. Chandra Sekhar
Appeared in
Advances in Neural Networks - ISNN 2007, 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part I (ISNN 2007),
Lecture Notes in Computer Science, Vol 4491, pp.546-552, Jun 2007.
Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction.
Venkataramana B. Kini, C. Chandra Sekhar
Appeared in
2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 5-7 March 2007, Kolkata, India (ICCTA 2007),
pp.355-360, Mar 2007.
Identification of Block Ciphers using Support Vector Machines.
Aroor Dinesh Dileep, C. Chandra Sekhar
Appeared in
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006,
pp.2696-2701, Jul 2006.
Kernel based Clustering and Vector Quantization for Speech Segmentation.
D. Srikrishna Satish, C. Chandra Sekhar
Appeared in
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006,
pp.1636-1641, Jul 2006.
Spotting Multilingual Consonant-Vowel Units of Speech Using Neural Network Models.
Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana
Appeared in
Nonlinear Analyses and Algorithms for Speech Processing, International Conference on Non-Linear Speech Processing, NOLISP 2005, Barcelona, Spain, April 19-22, 2005, Revised Selected Papers (NOLISP 2005),
Lecture Notes in Computer Science, Vol 3817, pp.303-317, Apr 2005.
A Fast and Efficient Face Detection Technique Using Support Vector Machine.
R. Suguna, N. Sudha, C. Chandra Sekhar
Appeared in
Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings (ICONIP 2004),
Lecture Notes in Computer Science, Vol 3316, pp.338-343, Nov 2004.
Kernel Based Clustering for Multiclass Data.
D. Srikrishna Satish, C. Chandra Sekhar
Appeared in
Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings (ICONIP 2004),
Lecture Notes in Computer Science, Vol 3316, pp.1266-1272, Nov 2004.
Detection of vowel on set points in continuous speech using autoassociative neural network models.
Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances.
Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana
Appeared in
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, ICME 2003, 6-9 July 2003, Baltimore, MD, USA (ICME 2003),
pp.201-204, Jul 2003.
Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances.
Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines.
C. Chandra Sekhar, Kazuya Takeda, Fumitada Itakura
Appeared in
Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002, Proceedings (SVM 2002),
Lecture Notes in Computer Science, Vol 2388, pp.171-185, Aug 2002.
A constraint satisfaction model for recognition of stop consonant-vowel (SCV) utterances.
Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector Machines.
C. Chandra Sekhar, Kazuya Takeda, Fumitada Itakura
Appeared in
Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings (ICANN 2001),
Lecture Notes in Computer Science, Vol 2130, pp.399-404, Aug 2001.
Recognition of consonant-vowel utterances using Support Vector Machines.
C. Chandra Sekhar, Kazuya Takeda, Fumitada Itakura
Appeared in
ESANN 2001, 9th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 25-27, 2001, Proceedings (ESANN 2001),
pp.7-12, Apr 2001.
A Residue Number Arithmetic based Circuit for Pipelined Computation of Autocorrelation Coefficients of Speech Signal.
Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech.
C. Chandra Sekhar, B. Yegnanarayana
Appeared in
Proceedings of International Conference on Neural Networks (ICNN'96), Washington, DC, USA, June 3-6, 1996,
pp.2003-2008, Jun 1996.
Parsing spoken utterances in an inflectional language.
M. Prakash, G. V. Ramana Rao, C. Chandra Sekhar, B. Yegnanarayana
Appeared in
First European Conference on Speech Communication and Technology, EUROSPEECH 1989, Paris, France, September 27-29, 1989 (EUROSPEECH 1989),
pp.1546-1549, Sep 1989.
An acoustic-phonetic expert for analysis and processing of continuous speech in hindi.
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