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Dr. Govind D.

Assistant Professor, Center for Computational Engineering & Networking, Coimbatore

Qualification: Ph.D
d_govind@cb.amrita.edu
Dr. Govind D.'s Google Scholar Profile
Research Interest: Character Recognition, Emotions & Expressive Speech Analysis, Speech Recognition, Speech Signal Processing, Speech Synthesis

Bio Publications
Bio

Dr. Govind D. joined Amrita School of Engineering, Amritanagar, Coimbatore, in the Center for Computational Engineering & Networking as Assistant Professor in August 2012. He completed PhD from Indian Institute of Technology Guwahati and his core area of research is in Speech Signal Processing. He also worked as Project Lead in the UK-India education research initiative project (2007-2011) titled “Study of source features for speech synthesis and speaker recognition”, between IIT Guwahati and University of Edinburgh. He also has more than 50 research publications in reputed conferences and journals. Govind’s publications include prestigious conferences in the area of speech processing, like INTERSPEECH and International Conference on Audio Speech and Signal Processing (ICASSP) organized by International Speech Communication Association (ISCA) and IEEE, respectively .

Awards and Recognition

  • Outstanding Perfrmance award in the MHRD sponsored Global Initiative of Academic Networks (GIAN) course titled “ Advanced sinusoidal modelling in speech and applications” organized at IIT Guwahati , Dec, 2016
  • MLA Special Merit Award, Govt. of Kerala, Cochin 2013

Student Achievements

  • Ms. Lakshmipriya. S, my PG project student, received the best paper award for the PG thesis based paper in the international symposium on Signal Processing and Intelligent Recognition systems (SIRS) 2018.

PhD Students

Completed PhD Students

  1. Sowmya V (Working in the area of color image processing) PhD thesis Title: SIGNIFICANCE OF INCORPORATING CHROMINANCE INFORMATION FOR SCENE CLASSIFICATION ( PhD defended on 6/7/2018)
  2. D. Pravena (working in the area of Speech Emotion Recognition PhD Thesis Title: Significance of incorporating excitation source features for improved speech emotion recognition (Thesis Defended on 6/8/2018)

Ongoing PhD Students

  1. Divya Pankaj (Co-guidance with Prof. K. A. Narayanankutty) (Area : Image Processing )
  2. Archana R (Co-Guidance with Dr. E. A. Gopalakrishnan) (Speech Processing)

Co-Guidance

  1. B. Ganga Gowri (PhD Advisor: Prof. K. P. Soman) (Area: Speech Processing)
  2. G. Jyothish Lal (PhD  advisor:  Dr. E. A. Gopalakrishnan) (Speech Processing)

Distinguished PG Project Students

  • Tinu T Joy (M-Tech 2014 batch) : Tinu was my MTech Project student of 2014 batch. After fnishing the MTech program and with the accepted SCI publication as a part of his MTech project, he secured PhD admission in Deaking university, australia in 2015. He joined as a data scientist at Exabel, Norway after submitting his PhD thesis in June 2018.
  • Hisham T (M-Tech 2015 batch) : As a part of MTech project Hisham published a paper in the nationa l conference of communications 2016 which is a reputed confeence organized by telematics group of IITs and IISc. He is currently working as a data scientist in UVOnics, an IOT based company.
  • Ajay S. G (M-Tech 2017 batch) : After completing M-Tech Ajay is currently working as data science engineer in Arknet, a company known for providing data analytics solutions for various natual language processing (NLP) tasks.

 

Publications

Journal Article

Year : 2020

Glottal Activity Detection from the Speech Signal Using Multifractal Analysis

Cite this Research Publication : Jyothish Lal G., Dr. E. A. Gopalakrishnan, and Dr. Govind D., “Glottal Activity Detection from the Speech Signal Using Multifractal Analysis”, Circuits, Systems, and Signal Processing, vol. 39, no. 4, pp. 2118 - 2150, 2020, DOI: https://doi.org/10.1007/s00034-019-01253-4

Publisher : Circuits, Systems, and Signal Processing

Year : 2018

Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition

Cite this Research Publication : Jyothish Lal G., Dr. E. A. Gopalakrishnan, and Dr. Govind D., “Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition”, Circuits, Systems, and Signal Processing, vol. 37, pp. 3245–3274, 2018, DOI: https://doi.org/10.1007/s00034-018-0804-x

Publisher : Circuits, Systems, and Signal Processing

Year : 2018

Accurate Estimation of Glottal Closure Instants and Glottal Opening Instants from Electroglottographic Signal Using Variational Mode Decomposition

Cite this Research Publication : Jyotish Lal, G., Gopalakrishnan, E.A. and Govind, D. “Accurate estimation of glottal closure instants and glottal opening instants from electroglottographic signal using variational mode decomposition”, Circuits, Systems & Signal Processing, (2018), 37(2), 810-830.

Publisher : Circuits, Systems, and Signal Processing

Year : 2017

Significance of perceptually relevant image decolorization for scene classification

Cite this Research Publication : Sowmya V., Divakaran, G., and Dr. Soman K. P., “Significance of perceptually relevant image decolorization for scene classification”, Journal of Electronic ImagingJournal of Electronic Imaging, vol. 26, no. 6, pp. 063019 (IF: 0.780, CiteScore: 2.0, Q3- 46 percentile), 2017.

Publisher : Journal of Electronic Imaging

Year : 2017

Significance of incorporating excitation source parameters for improved emotion recognition from speech and electroglottographic signals

Publisher : International Journal of Speech Technology

Year : 2017

Development of simulated emotion speech database for excitation source analysis

Publisher : International Journal of Speech Technology

Year : 2016

Issues in formant analysis of emotive speech using vowel-like region onset points

Publisher : Advances in Intelligent Systems and Computing

Year : 2015

Improving the Flexibility of Dynamic Prosody Modification Using Instants of Significant Excitation

Publisher : International Journal of Circuits, Systems, and Signal Processing

Year : 2013

In this paper, a new and novel Automatic Speaker Recognition (ASR) system is presented. The new ASR system includes novel feature extraction and vector classification steps utilizing distributed Discrete Cosine Transform (DCT-II) based Mel Frequency Cepst

Publisher : International Journal of Speech Technology

Year : 2013

Expressive Speech Synthesis: A Review

Publisher : International Journal of Speech Technology

Year : 2013

Epoch based dynamic prosody modification for neutral to expressive conversion

Publisher : Indian Institute of Technology Guwahati

Year : 2013

Dynamic prosody modification using zero frequency filtered signal

Publisher : International Journal of Speech Technology

Year : 2009

Simplified Framework for Designing Biorthogonal and Orthogonal Wavelets

Publisher : International Journal of Recent Trends in Engineering

Year : 2009

Expressive speech synthesis using prosodic modification and dynamic time warping

Publisher : NCC 2009

Conference Paper

Year : 2022

Grapheme to Phoneme Conversion for Malayalam Speech Using Encoder-Decoder Architecture

Cite this Research Publication : Priyamvada, R., Govind, D., Menon, V.K., Premjith, B., Soman, K.P., "Grapheme to Phoneme Conversion for Malayalam Speech Using Encoder-Decoder Architecture," (2022) Smart Innovation, Systems and Technologies, 266, pp. 41-49., DOI: 10.1007/978-981-16-6624-7_5

Year : 2018

Significance of epech identification accuracy in prosody modification for effective emotion conversion

Publisher : proceedings of international symposium on signal processing and intelligent recognition systems (SIRS) 2018

Year : 2017

Significance of exploring pitch only features for the recognition of spontaneous emotions from speech signals

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2017

Robust pitch estimation in distant speech signals collected from vehicle

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2017

Improved color scene classification system using deep belief networks and support vector machines

Cite this Research Publication : Sowmya, Ajay, A., Dr. Govind D., and Dr. Soman K. P., “Improved color scene classification system using deep belief networks and support vector machines”, in 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuching, Sarawak; Malaysia, 2017, pp. 12-14 .

Publisher : 2017 IEEE International Conference on Signal and Image Processing Applications

Year : 2017

Comparison of glottal closure instant estimation algorithms for singing voices in Indian context

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2015, 2016

Improved Phone Recognition Using Excitation Source Features

Publisher : In Proceedings of International Symposium on Intelligent Systems Technologies and Applications (ISTA)

Year : 2016

Significance of Natural Elicitation in Developing Simulated Full Blown Speech Emotion Databases

Publisher : in Proc. IEEE Tech Symposium, IIT Kharagpur,2016

Year : 2016

Expressive Speech Analysis for Epoch Extraction Using Zero Frequency Filtering Approach

Publisher : in Proc. IEEE Tech Symposium, IIT Kharagpur, 2016

Year : 2016

Effectiveness of polarity detection for improved epoch extraction from speech

Publisher : 2016 22nd National Conference on Communication, NCC 2016

Year : 2015

Significance of implementing polarity detection circuits in audio preamplifiers

Publisher : 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015

Year : 2015

Issues in the Formant Analysis of Emotive Speech Using Vowel-like Region Onset Points

Publisher : In Proceedings of International Symposium on Intelligent Systems Technologies and Applications (ISTA)

Year : 2015, 2016

Improved Phone Recognition Using Excitation Source Features

Publisher : In Proceedings of International Symposium on Intelligent Systems Technologies and Applications (ISTA)

Year : 2015

Improved Method for Epoch Estimation in Telephonic Speech Signals Using Zero Frequency Filtering

Publisher : International Conference on signal and image processing applications (ICSIPA)

Year : 2014

Significance of epoch identification accuracy for prosody modification

Publisher : 2014 International Conference on Signal Processing and Communications, SPCOM 2014

Year : 2014

Automatic speech polarity detection using phase information from complex analytic signal representations

Publisher : 2014 International Conference on Signal Processing and Communications, SPCOM 2014

Year : 2013

Unified pitch markers generation method for pitch and duration modification

Publisher : Communications (NCC), 2013 National Conference on

Year : 2012

Significance of Glottal Activity Detection for Duration Modification

Publisher : Speech Prosody 2012

Year : 2012

Significance of Duration in the Prosodic Analysis of Assamese

Publisher : Proceedings of Speech Prosody

Year : 2012

Role of pitch slope and duration in synthesized Mizo tones

Publisher : Speech Prosody 2012

Year : 2012

Epoch extraction from emotional speech

Publisher : Signal Processing and Communications (SPCOM), 2012 International Conference on

Year : 2011

Neutral to Target Emotion Conversion Using Source and Suprasegmental Information.

Publisher : Interspeech

Year : 2011

Epoch Extraction in High Pass Filtered Speech Using Hilbert Envelope.

Publisher : INTERSPEECH

Year : 2010

Fast prosody modification using instants of significant excitation

Publisher : Proc Speech Prosody

Year : 2010

Analysis of excitation source information in emotional speech.

Publisher : INTERSPEECH

Conference Proceedings

Year : 2019

Improved Epoch Extraction from Speech Signals Using Wavelet Synchrosqueezed Transform

Cite this Research Publication : Dr. Govind D., S. Priya, L., Akarsh, S., and Dr. Soman K. P., “Improved Epoch Extraction from Speech Signals Using Wavelet Synchrosqueezed Transform”, National Conference on Communications (NCC) 2019. IISc Bangalore, 2019.

Publisher : National Conference on Communications (NCC)

Year : 2019

Edge Preserved Herringbone Artifact Removal from MRI Using Two-Stage Variational Mode Decomposition

Publisher : National Conference on Communications (NCC) 2019

Year : 2018

Tamil Speech Emotion Recognition Using Deep Belief Network(DBN)

Publisher : International Symposium on Signal Processing and Intelligent Recognition Systems

Year : 2018

Spectral Smoothing by Variational Mode Decomposition and its Effect on Noise and Pitch Robustness of ASR System

Publisher : in proc. IEEE international conference on acoustics, speech and signal processing (ICASSP) 2018, Vancuer, Canada

Year : 2018

Improved Epoch Extraction Using Variational Mode Decomposition Based Spectral Smoothing of Zero Frequency Filtered Emotive Speech Signals (Accepted)

Publisher : National Conference on Communications (NCC) 2018, Indian Institute of Technology Hyderabad

Year : 2018

Improved Epoch Extraction from Telehonic Speech Signals using Chebfun and zero frequency filtering

Publisher : Accepted for publication in INTERSPEECH 2018

Year : 2018

Identifying Issues in Estimating Parameters from Speech Under Lombard Effect

Publisher : International Symposium on Signal Processing and Intelligent Recognition Systems

Year : 2018

Dependency of Various Color and Intensity Planes on CNN Based Image Classification

Cite this Research Publication : Dr. Govind D., Sowmya, Sachin, R., and Dr. Soman K. P., “Dependency of Various Color and Intensity Planes on CNN Based Image Classification”, Advances in Intelligent Systems and Computing, International Symposium on Signal Processing and Intelligent Recognition Systems SIRS 2017, vol. 678. Springer International Publishing AG 2018, Manipal, India, pp. 167-177, 2018.

Publisher : Springer International Publishing AG 2018

Year : 2017

Significance of contrast and structure features for an improved color image classification system

Cite this Research Publication : Sowmya, Dr. Govind D., and Dr. Soman K. P., “Significance of contrast and structure features for an improved color image classification system”, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). pp. 210-215, 2017.

Publisher : 2017 IEEE International Conference on Signal and Image Processing Applications

Year : 2017

Exploring the Significance of Low Frequency Regions in Electroglottographic Signals for Emotion Recognition

Publisher : International Symposium on Signal Processing and Intelligent Recognition Systems

Year : 2017

Development of speech emotion recognition system using deep belief networks in malayalam language

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2015

A Robust Algorithm for Speech Polarity Detection Using Epochs and Hilbert Phase Information

Publisher : Proceedings of Symposium of Computer vision and internet (VisionNet), Procedia Computer Science

Year : 2015

Preliminary Studies towards Improving the Isolated Digit Recognition Performance of Dysarthric Speech by Prosodic Analysis

Publisher : Proceedings of Symposium of Computer vision and internet (VisionNet), Procedia Computer Science

Year : 2014

Empirical Selection of Scaling Factors for Prosody Modification Applications

Publisher : International Conference on Speech and Signal processing (ICSSP 2014)

Year : 2014

Analysis of segmental durations and significance of dynamic duration modification for emotion conversion

Publisher : International conference on Signal and speech processing

Year : 2014

Analysis of Segmental Durations and Signaificance of Dynamic Duration Moification for Emotion Conversion

Publisher : International Conference on Speech and Signal processing (ICSSP 2014)

Year : 2013

Improved method for epoch extraction in high pass filtered speech

Publisher : IEEE- INDICON 2013

Year : 2013

Detection of Glottal Opening Instants Using Hilbert Envelope

Publisher : INTERSPEECH 2013

Year : 2006

Grapheme to Phone Conversion for Hindi Oriental

Publisher : COCOSDA

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