| 1 |
Rough fuzzy set theoretic approach to evaluate the importance of input features in classification |
M. Sarkar, B. Yegnanarayana |
1997 |
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| 2 |
Feedforward neural network configuration using evolutionary programming |
M. Sarkar, B. Yegnanarayana |
1997 |
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| 3 |
An evolutionary programming-based probabilistic neural network construction technique |
M. Sarkar, B. Yegnanarayana |
1997 |
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| 4 |
Evaluation of periodic/aperiodic decomposition for analysis of aperiodicities in the voice source |
C. d'Alessandro, V. Darsinos, B. Yegnanarayana |
1995 |
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| 5 |
A robust method for determining instants of major excitations in voiced speech |
B. Yegnanarayana, R. L. H. M. Smits |
1995 |
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| 6 |
Decomposition of speech signals into deterministic and stochastic components |
C. d'Alesandro, B. Yegnanarayana, V. Darsinos |
1995 |
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| 7 |
Sonar target recognition using radial basic function networks |
B. Yegnanarayana, H.M. Chouhan, C. Chandra Sekhar, R.P. Singh |
1992 |
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| 8 |
Directed spreading activation in multiple layers for lowerlevel feature extraction |
A. A. Valan, B. Yegnanarayana |
1992 |
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| 9 |
Texture classification using a two-stage neural network approach |
P. P. Raghu, R. Poongodi, B. Yegnanarayana |
1993 |
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| 10 |
An artificial neural network model for image reconstruction for multiple frame of noisy sparse data |
B. Yegnanarayana, R. Ramaseshan |
1993 |
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| 11 |
On windowing speech data for analysis |
B. Yegnanarayana, P. Satyanarayana Murthy |
1993 |
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| 12 |
Source system windowing for speech analysis |
B. Yegnanarayana, P. Satyanarayana Murthy, J.H. Eggen |
1993 |
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| 13 |
Classification of CV transitions in continuous speech using neural network models |
C. Chandra Sekhar, B. Yegnanarayana |
1994 |
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| 14 |
Voice conversion using artificial neural networks |
M. Narendranath, Hema A. Murthy, S. Rajendran, B. Yegnanarayana |
1994 |
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| 15 |
Recognition of CV segments using fuzzy neural networks |
B. Yegnanarayana, C. Chandra Sekhar, S. R. Prakash |
1994 |
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| 16 |
Texture classification using a combined self-organizing map and multilayer perception |
P. P. Raghu, R. Poongodi, B. Yegnanarayana |
1994 |
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| 17 |
Fuzzyfication of formant trajectories for classification of CV utterances using neural network models |
B. Yegnanarayana, C. Chandra Sekhar, S. R. Prakash |
1994 |
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| 18 |
A speaker verification system using prosodic features |
B. Yegnanarayana, S. P. Wagh, S. Rajendran |
1994 |
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| 19 |
Incorporation of fuzzy classification properties into backpropagation learning algorithm |
M. Sarkar, B. Yegnanarayana |
1997 |
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| 20 |
Enhancement of reverberant speech using excitation source information |
M.Chaitanya, S.R.M. Prasanna, B. Yegnanarayana |
2004 |
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| 21 |
Neural network models for test-to-speech synthesis |
K. Sreenivasa Rao, B. Yegnanarayana |
2004 |
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| 22 |
Two-stage duration model for Indian languages using neural networks |
K. Sreenivasa Rao, B. Yegnanarayana |
2004 |
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| 23 |
Speaker Segmentation Based on Subsegmental Features and Neural Network Models |
Dhananjaya N., Guruprasad S., B. Yegnanarayana |
2004 |
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| 24 |
Content-Based Video Classification using SVMs |
Vakkalanka Suresh, C.Krishna Mohan, R. Kumaraswamy, B. Yegnanarayana |
2004 |
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| 25 |
Speech enhanced multi-span language model |
A. Nayeemulla Khan, B. Yegnanarayana |
2004 |
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Publications 
