Journal Publications
Journal Publications:
- Srikanth Raj Chetupalli, T. V. Sreenivas, "Joint Bayesian Estimation of Time-Varying LP Parameters and Excitation for Speech", accepted for publication in IEEE Signal Processing Letters, 2017.
- A. S. Murthy, C. S. Seelamantula, and T. V. Sreenivas, "Optimum short-time polynomial regression for signal analysis," accepted to Sadhana Journal of the Indian Academy of Sciences.
- Harshavardhan Sundar, TV Sreenivas, "Who spoke what? A Latent variable framework for the joint decoding of multiple speakers and their keywords", arXiv:1504.08021. [link]
- Neeraj K. Sharma, TV Sreenivas, "Event-triggered sampling using signal extrema for instantaneous amplitude and instantaneous frequency estimation", Elsevier Signal Processing, Vol 116, pp - 43-54, Nov. 2015. [link]
- Mrugesh Gajjar, TV Sreenivas, Govindarajan, R. “Fast Likelihood Computation in Speech Recognition using Matrices,” J. Sig. Proc. Syst. for Signal, Image, and Video Tech., Vol.70, No.2, pp 219-234, Feb. 2013.
- Harshavardhan Sundar, TV Sreenivas, W. Kellerman, “Identification of Active Sources in Single-Channel Convolutive Mixtures Using Known Source Models,” IEEE Signal Proc. Letters,, Mar 2013.
- Harshavardhan Sundar, C. S. Seelamantula, and T. V. Sreenivas, "A mixture model approach for formant tracking and the robustness of Student's-t distribution," IEEE Tr. Audio, Speech, Lang. Proc., Vol.20, No.10, pp 2626-2636, Dec 2012.
- Nishanth U. Nair and T.V. Sreenivas, “Multi-Pattern Viterbi Algorithm for Joint Decoding of Multiple Patterns,” accepted for Signal Processing (Els), Mar 2010. [link]
- Nishanth Ulhas Nair and TV Sreenivas: “Joint evaluation of multiple speech patterns for speech recognition and training,” Computer, Speech and Language, (Acad Press) May 2009. [link]
- Saikat Chatterjee and TV Sreenivas: “Reduced complexity two stage vector quantization,” Digital Signal Processing: A Review Journal, In Press, Dec 2008 [link]
- Chandra Sekhar, S. and TV Sreenivas: “Block-artifacts in speech/audio: Dynamic auditory-model-based characterization and optimal time-frequency smoothing,” Signal Processing (Elsevier), Vol. 89, No.4, pp 523-531, Apr 2009. [link]
- Suresh K and TV Sreenivas: “Linear Filtering in DCT-IV/DST-IV and MDCT/MDST Domains,” Signal Processing (Elsevier), In Press, Dec 2008. [link]
- Suresh K and TV Sreenivas, “Block Convolution using Discrete Trigonometric Transforms and Discrete Fourier Transform,” IEEE Signal Processing Letters, Vol. 15, pp 469-472, 2008. [link]
- Saikat Chatterjee and TV Sreenivas: “Optimum Switched Split Vector Quantization of LSF Parameters,” Signal Processing (Elsevier), Vol.88, Issue 6, pp 1528-1538, Jun 2008. [link]
- Saikat Chatterjee and TV Sreenivas: “Optimum transform domain split VQ,” IEEE Processing Letters, Vol.15, pp 285-288, 2008. [link]
- Saikat Chatterjee and TV Sreenivas: “Predicting VQ Performance Bound for LSF Coding,” IEEE Signal Processing Letters, Vol.15, pp 166-169, 2008. [link]
- Saikat Chatterjee and TV Sreenivas: “Switched Conditional PDF-Based Split VQ using Gaussian Mixture Model,” IEEE Signal Processing Letters, Vol.15, pp 91-94, 2008. [link]
- Saikat Chatterjee and TV Sreenivas: “Analysis of Conditional PDF Based Split VQ,” IEEE Signal Processing Letters, Volume 14, Issue 11, pp 781-784, Nov. 2007. [link]
- Saikat Chatterjee and TV Sreenivas: “Conditional pdf based split vector quantization of wide-band LSF parameters,” IEEE Signal Processing Letters, Vol.14, No.9, pp 641-44, Sep 2007. [link]
- Krishnakumar, S and TV Sreenivas: “On watermark-to-host correlation of uniform random phase watermarks in audio signals,” Signal Processing (Elsevier), No.1, Vol.87, pp 61-67, Jan 2007. [link]
- Prasanta K. Ghosh and TV Sreenivas: “Time-varying filter interpretation of Fourier transform and its variants,” Signal Processing (Elsevier), Vol.86, No.11, Nov 2006, pp 3258-3263. [link]
- S Chandra Sekhar and TV Sreenivas: “Signal-to-noise ratio estimation using higher-order moments,” Signal Processing (Elsevier), Vol.86, No.4, Apr 2006, pp 716-732. [link]
- S Chandra Sekhar and TV Sreenivas: ‘Adaptive window Zero-crossing based instantaneous frequency estimation,’ EURASIP J. Applied Signal Processing, No.12, Sept 2004. [link]
- S Chandra Sekhar and TV Sreenivas: ‘Adaptive spectrogram Vs adaptive pseudo Wigner-Ville distribution for instantaneous frequency estimation,’ Signal Processing Journal (Elsevier), Vol.83, pp1529-1543, July 2003. [link]
- S Chandra Sekhar and TV Sreenivas: ‘E?ect of interpolation on IF estimation using polynomial Wigner-Ville distribution’, Signal Processing Journal (Elsevier), Vol.84, No.1, pp107-116, Jan 2004. [link]
- S Chandra Sekhar and TV Sreenivas: ‘Auditory motivated level-crossing approach to Instantaneous frequency estimation,’ IEEE Tr. Signal Processing, Apr 2005. [link]
- B Mondal and TV Sreenivas, “Time-varying sinusoidal models for speech/audio,” J. Acoust. Soc. Am.,accepted for publication, March 2005.[link]
- JV Avadhanulu and TV Sreenivas, ‘Matched ?ltering approach to robust speech recognition,’ J. Ind. Inst.Science, Vol.79, No.3, May 1999. [link]
- G Viswanath and TV Sreenivas, ‘Instantaneous frequency estimation using higher order TFRs,’ Signal Processing (Elsevier), Vol.82, No.2, pp 127-132, Feb 2002. [link]
- G Viswanath and TV Sreenivas, ‘Cone-kernel representation Vs Instantaneous power spectrum,’ IEEE Trans. Signal Processing, Vol.47, No.1, pp 250-54, Jan 1999. [link]
- RNV Sitaram and TV Sreenivas, ‘Incorporating phonemic properties in HMMs for speech recognition,’ J. Acoust. Soc. Am., Vol. 102, No.2, pp 1149-1156, Aug 1997. [link]
- TV Sreenivas and P Kirnapure, ‘Codebook constrained iterative Wiener filtering for speech enhancement,’ IEEE Trans. Speech and Audio Processing, Vol.4, No.5, Sep 1996. [link]
- TV Sreenivas and RJ Niederjohn, ‘Zero-crossing based spectral analysis and ‘SVD’ spectral analysis for formant frequency estimation in noise,’ IEEE Trans. Acoust. Speech and Signal Processing, Vol.SP-40, No.2, Feb 1992. [link]
- TV Sreenivas, ‘On designing a microprogram translator,’ Signal Processing (Elsevier), Vol.13, No.1, pp 91-100, Jul 1987. [link]
- TV Sreenivas, ‘Simulation of a programmable signal processor,’ Signal Processing (Elsevier), Vol.6, No.2,pp 135-142, Apr 1984. [link]
- TV Sreenivas and PVS Rao, ‘Functional demarcation of pitch,’ Signal Processing (Elsevier), Vol.3, No.3, pp 277-284, Jul 1981. [link]
- TV Sreenivas and PVS Rao, ‘High resolution narrow band spectra by FFT pruning,’ IEEE Trans. Acoust.Speech and Signal Processing, Vol.ASSP-28, No.2, pp 254-257, Apr 1980. [link]
- TV Sreenivas and PVS Rao, ‘FFT algorithm for both input and output pruning,’ IEEE Trans. Acoust.Speech and Signal Processing, Vol.ASSP-27, No.3, pp 291-292, Jun 1979. [link]
- TV Sreenivas and PVS Rao, ‘Pitch extraction from corrupted harmonics of the power spectrum,’ J. Acoust.Soc. of America, Vol.65, No.1, pp 223-228, Jan 1979. [link]
- KK Paliwal, TV Sreenivas and PVS Rao, ‘A vowel recognition experiment using vocal tract area functions,’ J. Acoust. Soc. of India, Vol.6, No.4, pp 132-137, Oct 1978. [link]
- J. Acoust. Soc. of India, Vol.6, No.4, pp 132-137, Oct 1978.