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Prasanta Kumar Ghosh
PhD Student

Speech Analysis and Interpretation Laboratory (SAIL),
Ming Hsieh Dept. of Electrical Engineering,
University of Southern California, Viterbi School of Engineering (USC),
3740 McClintock Ave. - EEB 405,
Los Angeles, CA 90089-2565.



 prasanta



CONTACT :
phone 1 213 821 2433 (office)
sendmail prasantgatuscdotedu


Welcome to my homepage!  I am a PhD student at Speech Analysis and Interpretation Laboratory (SAIL) since Auguest 2006.  My advisor is Prof. Shrikanth Narayanan .



Publications
 Teaching
 Courses
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Publications

Conference:
  1. Prasanta Ghosh, Shrikanth Narayanan, Pierre Divenyi, Louis Goldstein, Elliot Saltzman, "Estimation of articulatory gesture patterns from speech acoustics", Proc. InterSpeech, 6-10 Sep, 2009, Brighton, UK, pp 2803-2806.
  2. Prasanta Ghosh, Antonio Ortega, and Shrikanth Narayanan, "Pitch period estimation using multipulse model and wavelet transform", In Proceedings of InterSpeech ICSLP, Antwerp, Belgium, August 2007, Page(s): 2761-2764.
  3. Prasanta Kumar Ghosh, "Speech Segmentation using Extrema-Based Signal Track Length Measure", ICASSP 2007, Volume 4,  15-20 April 2007 Page(s):IV-1065 - IV-1068.
  4. Prasanta Kumar Ghosh and T.V. Sreenivas, "Dynamic Programming Based Optimum Non-Uniform Samples For Speech Reconstruction and Coding", ICASSP 2006, Volume 1, Page(s):I - I.
  5. Prasanta Kumar Ghosh and T.V. Sreenivas, "Waveform Reconstruction from Non-uniform Samples with Application to Speech Coding",  IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP), May 2005, Japan.
  6. Prasanta Kumar Ghosh and A. Konar, "Modification of the LMS Predictor to Reduce Signal Prediction Error in Linear Prediction", International Conference on Communication, Devices and Intelligent Systems (CODIS 2004), Jan 2004, Kolkata, India.
  7. Prasanta Kumar Ghosh and T.V. Sreenivas, "Extrema based Unwarping for Time-varying Pitch Estimation",  accepted for publication in 12th National Conference on Communication (NCC) 2006.
  8. Andreas Tsiartas, Prasanta Ghosh, Panayiotis G. Georgiou, and Shrikanth Narayanan, "Context-driven bilingual movie subtitle alignment", Proc. InterSpeech, 6-10 Sep, 2009, Brighton, UK, pp 444-447.
  9. Andreas Tsiartas, Prasanta Ghosh, Panayiotis G. Georgiou, and Shrikanth Narayanan, "Robust word boundary detection in spontaneous speech using acoustic and lexical cues", In Proceedings of ICASSP, Taipei, Taiwan, Apr 2009.
  10. Sankaranarayanan Ananthakrishnan, Prasanta Ghosh, and Shrikanth Narayanan, "Automatic classification of question turns in spontaneous speech using lexical and prosodic evidence", In Proceedings of ICASSP, Las Vegas, Nevada, April 2008.
  11. Amitava Das, Manoj Balwani, Rahul Thota, Prasanta Ghosh, "Face Recognition from Images with High Pose Variations by Transform Vector Quantization", ICVGIP 2006, Pages:674-685.
  12. Das, A., Ghosh, P., "Audio-Visual Biometric Recognition by Vector Quantization", IEEE Spoken Language Technology(SLT) Workshop, Dec 2006, Page(s):166 - 169.

Journal:
  1. Prasanta Kumar Ghosh and T.V. Sreenivas, "Time-varying Filter Interpretation of Fourier Transform and its Variants", Signal Processing (Elsevier), Volume 86, Issue 11, November 2006, Pages 3258-3263.
  2. Prasanta Kumar Ghosh and Shrikanth Narayanan, "Closure duration analysis of incomplete stop consonants due to stop-stop interaction", J. Acoust. Soc. Am. Express Letters, Volume 126, Issue 1, July, 2009, pp. EL1-EL27.
  3. Prasanta Kumar Ghosh and Shrikanth Narayanan, "Pitch contour stylization using an optimal piecewise polynomial approximation", IEEE Signal Processing Letters, Volume 16, No. 9, September 2009, pp 810-813.

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Teaching

I was Teaching Assistant for the following courses at Electrical Engineering at the University of Southern California (USC):

Introduction to Probability and Statistics for Electrical Engineering (EE 364) in Fall 2006
Probability Theory for Engineers (EE 464) in Spring 2007 [See students' feedback]
Random Processes in Engineering (EE 562A) in Fall 2007 [See students' feedback]
Random Processes in Engineering (EE 562A) in Spring 2008 [See students' feedback]

In 2008 and 2009, I was awared the best TA by Ming Hsieh Department of Electrical Engineering, USC.


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Courses

At Indian Institute of Science, Bangalore, India
during Masters' of Science (MSc)

 		At University of Southern California
during PhD
  1. SPEECH INFORMATION PROCESSING
  2. NEURAL NETWORK
  3. COMPUTER VISION
  4. MATHEMATICAL METHODS
  5. ADVANCED DIGITAL SIGNALPROCESSING                                                                    
  6. SPECTRUM ANALYSIS
  1. PROBABILITY THEORY FOR ENGINEERS (EE 464)
  2. WAVELETS (EE 596)
  3. MATHEMATICAL PATTERN RECOGNITION (EE 559)
  4. RANDOM PROCESSES FOR ENGINEERS (EE 562A)
  5. EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (CSCI 562)
  6. ADAPTIVE SIGNAL PROCESSING (EE 583)
  7. STATISTICS FOR ENGINEERS (EE 517)
  8. NEURAL COMPUTATION WITH ARTIFICIAL NEURAL NETWORKS (CS 542)
  9. SELECTED TOPICS IN MACHINE LEARNING (CS 599)



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