Artificial neural networks B Yegnanarayana PHI Learning Pvt. Ltd., 2009 | 2346 | 2009 |
Epoch extraction from speech signals KSR Murty, B Yegnanarayana IEEE Transactions on Audio, Speech, and Language Processing 16 (8), 1602-1613, 2008 | 694 | 2008 |
Combining evidence from residual phase and MFCC features for speaker recognition KSR Murty, B Yegnanarayana IEEE signal processing letters 13 (1), 52-55, 2005 | 649 | 2005 |
Epoch extraction from linear prediction residual for identification of closed glottis interval TV Ananthapadmanabha, B Yegnanarayana IEEE Transactions on Acoustics, Speech, and Signal Processing 27 (4), 309-319, 1979 | 386 | 1979 |
Genetic-algorithm-based optimal power flow for security enhancement D Devaraj, B Yegnanarayana IEE Proceedings-Generation, Transmission and Distribution 152 (6), 899-905, 2005 | 361 | 2005 |
Gait analysis for human identification A Kale, N Cuntoor, B Yegnanarayana, AN Rajagopalan, R Chellappa Audio-and Video-Based Biometric Person Authentication: 4th International …, 2003 | 358 | 2003 |
Spectral mapping using artificial neural networks for voice conversion S Desai, AW Black, B Yegnanarayana, K Prahallad IEEE Transactions on Audio, Speech, and Language Processing 18 (5), 954-964, 2010 | 324 | 2010 |
Voice conversion using artificial neural networks S Desai, EV Raghavendra, B Yegnanarayana, AW Black, K Prahallad 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 306 | 2009 |
Enhancement of reverberant speech using LP residual signal B Yegnanarayana, PS Murthy IEEE Transactions on Speech and Audio Processing 8 (3), 267-281, 2000 | 290 | 2000 |
Transformation of formants for voice conversion using artificial neural networks M Narendranath, HA Murthy, S Rajendran, B Yegnanarayana Speech communication 16 (2), 207-216, 1995 | 290 | 1995 |
Determination of instants of significant excitation in speech using group delay function R Smits, B Yegnanarayana IEEE Transactions on Speech and Audio Processing 3 (5), 325-333, 1995 | 260 | 1995 |
Extraction and representation of prosodic features for language and speaker recognition L Mary, B Yegnanarayana Speech communication 50 (10), 782-796, 2008 | 247 | 2008 |
Event-based instantaneous fundamental frequency estimation from speech signals B Yegnanarayana, KSR Murty IEEE Transactions on Audio, Speech, and Language Processing 17 (4), 614-624, 2009 | 244 | 2009 |
Prosody modification using instants of significant excitation KS Rao, B Yegnanarayana IEEE Transactions on Audio, Speech, and Language Processing 14 (3), 972-980, 2006 | 226 | 2006 |
AANN: an alternative to GMM for pattern recognition B Yegnanarayana, SP Kishore Neural networks 15 (3), 459-469, 2002 | 215 | 2002 |
Extraction of speaker-specific excitation information from linear prediction residual of speech SRM Prasanna, CS Gupta, B Yegnanarayana Speech Communication 48 (10), 1243-1261, 2006 | 214 | 2006 |
Extraction of vocal-tract system characteristics from speech signals B Yegnanarayana, RNJ Veldhuis IEEE transactions on Speech and Audio Processing 6 (4), 313-327, 1998 | 207 | 1998 |
Significance of group delay functions in signal reconstruction from spectral magnitude or phase B Yegnanarayana, D Saikia, T Krishnan IEEE Transactions on Acoustics, Speech, and Signal Processing 32 (3), 610-623, 1984 | 196 | 1984 |
Extracting the frequencies of the pinna spectral notches in measured head related impulse responses VC Raykar, R Duraiswami, B Yegnanarayana The Journal of the Acoustical Society of America 118 (1), 364-374, 2005 | 195 | 2005 |
An iterative algorithm for decomposition of speech signals into periodic and aperiodic components B Yegnanarayana, C d'Alessandro, V Darsinos IEEE Transactions on Speech and Audio processing 6 (1), 1-11, 1998 | 181 | 1998 |