C. Chandra Sekhar

发表

Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech

B. Yegnanarayana, C. Chandra Sekhar, B. Yegnanarayana, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Tutorial I: Neural networks and support vector machines

S. Thamarai Selvi, C. Chandra Sekhar, C. N. Rao, 2011, 2011 Third International Conference on Advanced Computing.

Pattern recognition issues in speech processing

B. Yegnanarayana, C. Chandra Sekhar, 2001 .

Classification of CV transitions in continuous speech using neural network models

B. Yegnanarayana, C. Chandra Sekhar, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

Approaches to Codec Independent Speaker Identification in Voip Speech

Hema A. Murthy, C. Chandra Sekhar, Anil Kumar Chilli, 2018, 2018 Twenty Fourth National Conference on Communications (NCC).

Close-class-set discrimination method for large-class-set pattern recognition using support vector machines

Kazuya Takeda, Fumitada Itakura, C. Chandra Sekhar, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Kernel methods based approaches to image classification and retrieval

C. Chandra Sekhar, S. Kumar, M. Subhas, 2012, 2012 Fourth International Conference on Advanced Computing (ICoAC).

Use of fuzzy mathematical concepts in character spotting for automatic recognition of continuous speech in Hindi

B. Yegnanarayana, C. Chandra Sekhar, P. Eswar, 1992 .

Dynamic Kernels based Approaches to Analysis of Varying Length Patterns in Speech and Image Processing Tasks

C. Chandra Sekhar, A. D. Dileep, Veena Thenkanidiyoor, 2017 .

Neural Networks based Approach for Detection of Vowel Onset Points

B. Yegnanarayana, C. Chandra Sekhar, Dolly Lanfranco, 1999 .

Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts pdf

Shrikanth Narayanan, Hema A. Murthy, C. Chandra Sekhar, 2021, ArXiv.

Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings

Hema A. Murthy, C. Chandra Sekhar, Nauman Dawalatabad, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Recognition of Stop-Consonant-Vowel (SCV) segments in continuous speech using neural network models

B. Yegnanarayana, C. Chandra Sekhar, B. Yegnanarayana, 1996 .