System and method of using Multi Pattern Viterbi Algorithm for joint decoding of multiple patterns NU Nair, TV Sreenivas US Patent 8,630,971, 2014 | 174 | 2014 |
Codebook constrained Wiener filtering for speech enhancement TV Sreenivas, P Kirnapure IEEE Transactions on Speech and Audio Processing 4 (5), 383-389, 1996 | 132 | 1996 |
Compressive sensing for sparsely excited speech signals TV Sreenivas, WB Kleijn 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 123 | 2009 |
Teager energy based blood cell segmentation BR Kumar, DK Joseph, TV Sreenivas 2002 14th International Conference on Digital Signal Processing Proceedings …, 2002 | 113 | 2002 |
Zero-crossing based spectral analysis and SVD spectral analysis for formant frequency estimation in noise TV Sreenivas, RJ Niederjohn IEEE transactions on Signal Processing 40 (2), 282-293, 1992 | 95 | 1992 |
FFT algorithm for both input and output pruning T Sreenivas, P Rao IEEE Transactions on Acoustics, Speech, and Signal Processing 27 (3), 291-292, 1979 | 86 | 1979 |
Music instrument recognition: from isolated notes to solo phrases AG Krishna, TV Sreenivas 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004 | 81 | 2004 |
Carnatic music analysis: Shadja, swara identification and raga verification in alapana using stochastic models HG Ranjani, S Arthi, TV Sreenivas 2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011 | 61 | 2011 |
GMM based Bayesian approach to speech enhancement in signal/transform domain A Kundu, S Chatterjee, AS Murthy, TV Sreenivas 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 59 | 2008 |
Automatic speech segmentation using average level crossing rate information A Sarkar, TV Sreenivas Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 44 | 2005 |
High-resolution narrow-band spectra by FFT pruning T Sreenivas, P Rao IEEE Transactions on Acoustics, Speech, and Signal Processing 28 (2), 254-257, 1980 | 42 | 1980 |
TDOA-based multiple acoustic source localization without association ambiguity H Sundar, TV Sreenivas, CS Seelamantula IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018 | 41 | 2018 |
Robust parameters for automatic segmentation of speech AKV SaiJayram, V Ramasubramanian, TV Sreenivas 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 39 | 2002 |
Signal-to-noise ratio estimation using higher-order moments SC Sekhar, TV Sreenivas Signal Processing 86 (4), 716-732, 2006 | 37 | 2006 |
Language identification using parallel sub-word recognition AKVS Jayram, V Ramasubramanian, TV Sreenivas 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 35 | 2003 |
Pitch extraction from corrupted harmonics of the power spectrum TV Sreenivas, PVS Rao The Journal of the Acoustical Society of America 65 (1), 223-228, 1979 | 35 | 1979 |
Auditory motivated level-crossing approach to instantaneous frequency estimation SC Sekhar, TV Sreenivas IEEE transactions on signal processing 53 (4), 1450-1462, 2005 | 32 | 2005 |
Adaptive spectrogram vs. adaptive pseudo-Wigner–Ville distribution for instantaneous frequency estimation SC Sekhar, TV Sreenivas Signal Processing 83 (7), 1529-1543, 2003 | 31 | 2003 |
Optimum switched split vector quantization of LSF parameters S Chatterjee, TV Sreenivas Signal Processing 88 (6), 1528-1538, 2008 | 29 | 2008 |
Adaptive window zero-crossing-based instantaneous frequency estimation SC Sekhar, TV Sreenivas EURASIP Journal on Advances in Signal Processing 2004, 1-16, 2004 | 27 | 2004 |