JOURNALS

Year   [2011]  [2010]  [2009]  [2008]  [2007]  [2006]  [2005] 

2011 [Back]

  1. Debadatta Pati and S. R. Mahadeva Prasanna, “ Subsegmental, segmental and suprasegmental processing of linear prediction residual for speaker information”, Int J. of Speech Technology (Springer), vol. 14, no. 1, pp. 49-63, Feb 2011.
  2. Debadatta Pati and S. R. Mahadeva Prasanna, “ Speaker recognition using supra segmental excitation information”, Int. J. of Computer and Communication Technology, Vol. 2, Issue 6, pp. 62-69, 2011.
  3. S. R. Nirmala, S. Dandapat, P. K. Bora, “Wavelet weighted distortion measure for retinal images”, -- Signal, image and video processing, Springer, (Revised and resubmitted).
  4. Nirmala S. R, Dandapat S., Bora P. K.,” Performance Evaluation of Distortion Measures for Retinal Images”, International Journal of Computer Applications, vol. 17, no.6, pp. 17-23, March 2011.
  5. Nirmala S. R, Dandapat S., Bora P. K.,” Phase congruency-based Measure for Quality assessment of the Compressed Retinal images”, International Journal of Imaging and Robotics (IJIR), In press.
  6. S.R. Nirmala, Malaya Kumar Nath, Samarendra Dandapat, “Retinal Image Analysis: A Review ”, International journal of Computer and Communication Technology(Special issue), vol. 2, Issue 6, pp. 11-14, 2011.
  7. S. R. Nirmala, S. Dandapat, P. K. Bora , “DTCWT based blood vessel extraction in retinal image analysis”, International journal of Biomedical Engineering and Consumer Health Informatics(IJBECHI), vol. 3, no. 1, pp. 1-5, 2011.
  8. S. Shukla, S. Dandapat, and S. R. M. Prasanna, “Spectral slope based analysis and classification of stressed speech,” Int J Speech Tech, vol. 14, pp. 245–258, 2011.
  9. L. N. Sharma, S. Dandapat, A. Mahanta, “Kurtosis based noise estimation and multiscale energy to denoise ECG signal”, Signal, Image and Video Processing, Springer, DOI: 10.1007/s11760-011-0227-7 , May 05, 2011.
  10. G. Pradhan and S. R. M. Prasanna,``Speaker verification under degraded condition: a perceptual study", International Journal of Speech Technology (Springer),2011 (in press).
  11. S. R. M. Prasanna and G. Pradhan, ``Significance of Vowel-Like Regions for Speaker Verification under Degraded Condition", IEEE Trans. Audio, Speech, and Language Process., vol.19, no.8, pp. 2552-“2565, May 2011.
  12. G. Pradhan and S. R. M. Prasanna, ``Significance of Vowel Onset Point Information for Speaker Verification", International Journal of computer & Communication Technology, vol.2, Issue.6, pp. 56-61, February 2011.
  13. P. Krishnamoorthy and S. R. M. Prasanna, “Two speaker speech separation by LP residual weighting and harmonics enhancement, ” International Journal of Speech Technology (Springer), vol. 13, no. 3, pp. 117-139, Sep. 2010. http://dx.doi.org/10.1007/s10772-010-9074-0
  14. P. Krishnamoorthy and S. R. M. Prasanna, “Enhancement of noisy speech by temporal and spectral processing,” Speech Communication (Elsevier), vol. 53, pp. 154-174, Feb. 2011. http://dx.doi.org/10.1016/j.specom.2010.08.011
  15. P. Krishnamoorthy, H. S. Jayanna and S. R. M. Prasanna, “Speaker recognition under limited data conditions by noise addition”, Expert Systems with Applications (Elsevier), vol. 38, pp. 13487-13490, Sep. 2011. http://dx.doi.org/10.1016/j.eswa.2011.04.069
  16. P. Krishnamoorthy and S. R. M. Prasanna, “A Noisy Speech Enhancement Method by Spectral Subtraction and Harmonics Enhancement”, International Journal of Information Processing, vol. 5, no. 2, pp. 1-12, 2011.

2010 [Back]

  1. Shweta Ghai and Rohit Sinha, “Exploring the effect of differences in the Acoustic correlates between adults and childresn’s speech in context of automatic speech recognition”, EURASIP J. on Audio, Speech and Music Process., Vol. 2010, Article ID 318785, 15 pages, 2010. Doi: 10.1155/2010/318785.
  2. Debadatta Pati and S. R. Mahadeva Prasanna, “ Speaker recognition from excitation source perspective”, J. IETE Technical Review, vol. 27, Issue 2, pp. 138-157, Mar 2010.
  3. S. R. Nirmala, S. Dandapat and P. K. Bora, " Wavelet weighted diagnostic distortion measure for the Optic disc", International Conference on Signal Processing and Communication ( SPCOM), July 2010.
  4. S.R.Nirmala, S. Dandapat and P.K.Bora.,Wavelet weighted blood vessel distortion measure for retinal images, Biomed.Signal Process.Control(2010),doi:10.1016/j.bspc.2010.06.005
  5. L. N. Sharma, S. Dandapat and A. Mahanta, " ECG signal denoising using higher order statistics in Wavelet subbands", Biomed. Signal Process.Control(2010), doi:10.1016/j.bspc.2010.03.003

2009 [Back]

  1. H. S. Jayanna , S. R. M. Prasanna Multiple frame size and rate analysis for speaker recognition under limited data condition, Accepted for publication in IET Signal Processing.
  2. P. Krishnamoorthy and S. R. M. Prasanna, Reverberant speech enhancement by temporal and spectral processing, in IEEE Trans. Speech, Audio and Language Processing. vol.17, no.2, pp. 253-266, Feb. 2009.
  3. S. R. M. Prasanna, B. V. Sandeep Reddy, and P. Krishnamoorthy, Vowel onset point detection using source, modulation and vocal tract information,IEEE Trans. Speech, Audio and Language Processing. vol.17, no.4, pp. 556-565, May. 2009.
  4. P. Krishnamoorthy and S. R. M. Prasanna, Temporal and spectral processing methods for processing of degraded speech - A review, J. IETE Technical Review, vol. 26, Issue 2, pp. 137-148, Mar-Apr: 2009
  5. P. Krishnamoorthy and S. R. M. Prasanna, Application of Combined Temporal and Spectral Processing Methods for Speaker Recognition under Noisy, Reverberant or Multi-Speaker Environments, to appear in Sadhana-Academy proceedings in engineering sciences (Springer).

2008 [Back]

  1. M. S. Manikandan and S. Dandapat, Multiscale entropy based weighted distortion measure for ECG coding, IEEE Signal Processing Letters, vol. 15, pp.829-832, December 2008.
  2. M. S. Manikandan and S. Dandapat, Effective quality-controlled SPIHT based ECG coding under noise environments, IET Electronics Letters, vol. 44, no. 20, pp. 1182-1183, September 2008.
  3. M. S. Manikandan and S. Dandapat, Wavelet threshold based TDL and TDR algorithms for real-time ECG signal compression, Biomed. Signal Process. Control, Elsevier, vol. 3, no. 1, pp. 44-66, January 2008.

2007 [Back]

  1. M. S. Manikandan and S. Dandapat, Wavelet energy based diagnostic distortion measure for ECG, Biomed. Signal Process. Control, Elsevier, vol. 2, no. 2, pp. 80-96, April 2007.
  2. K. S. Rao, S. R. M. Prasanna and B. Yegnanarayana, ''Determination of instants of significant excitation in speech using Hilbert envelope and group delay function,'' IEEE Signal Processing Letters, vol. 14, no. 10, pp. 1-4, Oct. 2007.
  3. S. R. M. Prasanna, A. Goel, and A. Samant, Biometric writer identification using word length analysis, Int. J. Tomography and Statistics, vol. 5, no. AI107, pp. 40-49, 2007.
  4. H. S. Jayanna, S. R. M. Prasanna, and B. Prasad, Speaker recognition using ai tools: Review and scope, Int. J. Tomography and Statistics, vol. 5, no. AI207, pp. 5-9, 2007.
  5. V. Anil Kumar, A. Mitra, and S. R. M. Prasanna, On the effectivity of different pseudo- noise and orthogonal sequences for speech encryption from correlation properties, Int. J. Information Technology, vol. 4, no. 2, pp. 145-152, Sep. 2007
  6. P. Krishnamoorthy and S. R. M. Prasanna, Processing noisy speech for enhancement, J. IETE Technical Review, Special issue on spoken language processing, vol. 24, pp. 349-355, Sep.-Oct. 2007.
  7. H. S. Jayanna , S. R. M. Prasanna and Bhanu Prasad, Speaker Recognition using Artificial Intelligence Tools: Review and Scope, International Journal of Tomography & Statistics (IJTS), Vol.5(AI207), pp. 5-10, Apr. 2007

2006 [Back]

  1. S. Ramamohan and S. Dandapat, Sinusoidal Model Based Analysis and Classification of Stressed Speech, IEEE Trans. of Speech and Audio Processing, May, 2006.
  2. S.R.M. Prasanna, C. S. Gupta and B. Yegnanarayana, ''Extraction of speaker-specific information from linear prediction residual of speech,'' Speech Communication, vol. 48, no. 10, pp. 1243-1261, Oct. 2006.
  3. A. Mitra, Y. V. Subba Rao, and S. R. M. Prasanna, A new image encryption approach using combinational permutation techniques, Int. J. Computer Science, vol. 1, no. 2, pp. 127-131, May 2006.
  4. S. R. M. Prasanna, Y. V. Subba Rao, and A. Mitra, An image encryption method with magnitude and phase manipulation using carrier images, Int. J. Computer Science, vol. 1, no. 2, pp. 131-137, May 2006.
  5. M. S. Manikandan and S. Dandapat, Wavelet threshold based ECG compression using USZZQ and Huffman coding of DSM, Biomed. Signal Process. Control, Elsevier, vol. 1, no. 4, pp. 261-270, October 2006

2005 [Back]

  1. B. Yegnanarayana, S.R.M. Prasanna, D. Zotkin and R. Duraiswami, ''Processing reverbent speech for time-delay estimation,'' IEEE Trans. Speech, Audio Processing, vol. 13, no. 6, pp. 1110-1118, Nov. 2005
  2. V. C. Raykar, B. Yegnanarayana, S.R.M. Prasanna, and R. Duraiswami, ''Speaker localization using excitation source information in speech,''IEEE Trans. Speech, Audio Processing, vol. 13, no. 5, pp. 751-761, Sept. 2005.
  3. B. Yegnanarayana, S.R.M. Prasanna, J. M. Zachariah, and C. S. Gupta, ''Combining evidence from source, suprasegmental and spectral features for a dixed-text speaker verification system,''IEEE Trans. Speech, Audio Processing, vol. 13, no. 4, pp. 575-582, July 2005.
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