snapshot Hema A Murthy

Professor

Research Areas: Speech Processing, Speech Synthesis, Music information retrieval, Music Processing, Computational brain research, any area that involves machine learning and signal processing

Education:
Ph.D., Computer Science and Engineering, IIT Madras, 1992
M.Eng, Electrical and Computer Engineering, McMaster University,Canada, 1986
B.E., Electronics and Communcation Engineering, Osmania University, 1980
Associated Labs:
Speech and Music Technology Lab
Courses (Teaching Currently/next Semester):

PRML general instruction

PRML course schedule (HAM) Courses (that I have Taught Before):

Research Scholars (current): Research Scholars (completed):
  • Jeena J Prakash, "Transcription correction and rhythm analysis for applications in text to speech synthesis for Indian languages," (submitted), PhD Thesis, 2019.
  • M S Saranya, "Feature Switching a new paradigm for speaker recognition and spoof detection," (submitted), PhD Thesis, 2019.
  • Jilt Sebastian, ''Novel Methods for Time-Event Detection and Source Separation,'' Ph.D Thesis, 2019.
  • P V Krishnaraj Sekhar, ``Technology assisted archival and learning of varnams in Carnatic music,'' MS Thesis, 2019.
  • Arun Baby, ``A unified approach to speech synthesis in Indian languages,'' MS Thesis, 2019.
  • Golda Brunet Rajan, ``Transcription correction using signal processing and its application to continuous speech recognition,'' PhD Thesis 2018.
  • Sridharan Sankaran, ``Segmentation of Music Items: A Computational Perspective,'' M S Thesis, IIT Madras, 2017.
  • Rajeev Rajan, ``Estimation of Pitch in Speech and Music Signals Using Modified Group Delay Functions,'' PhD Thesis, IIT Madras, 2017.
  • Saad Y Sait, ``Organizational level control of abusive traffic,'' (co-Guide: S Krishna Sivalingam), PhD Thesis, IIT Madras, 2017.
  • Anusha Prakash, ``Cross-lingual Speech Synthesis and Enhancement of Dysarthric Speech,'' (co-Guide, Prof. Ramasubba Reddy, Applied Mechanics), M S Thesis, 2017.
  • Shreya Khare, ``Multimedia Content Analysis And Its Application For Sound Source Localisation,'' M S Thesis, 2017.
  • Asha T, ``Relevance of front-end processing in Speaker Recognition,'' MS Thesis, IIT Madras, 2016.
  • Shrey Dutta, ``Analysis of Motifs in Carnatic Music: A Computational Perspective,'' M S Thesis, IIT Madras, 2016.
  • Akshay Bhandari, ``Feature extraction for anomaly detection,'' M S Thesis, IIT Madras, 2016.
  • Aswin S Shanmugam, ``A HYBRID APPROACH TO SEGMENTATION OF SPEECH USING SIGNAL PROCESSING CUES AND HIDDEN MARKOV MODELS,'' M S Thesis, IIT Madras, 2016.
  • Raghava Krishnan, ``PROSODIC ANALYSIS OF INDIAN LANGUAGES AND ITS APPLICA- TIONS TO SPEECH SYNTHESIS,'' M S Thesis, IIT Madras, 2016 (co-guide: Prof. S. Umesh, Dept. of EE, IIT Madras)
  • Padi Sarala, ``Applause identification and its application to archival of Carnatic Music,'' PhD Thesis, April 2015.
  • M R Srikanth, ``Speaker verification and keyword spotting for forensic applications,'' PhD Thesis, Dec 2013.
  • Ashwin Bellur, ``Automatic identification of tonic in Indian classical music,''(co-guide: R Aravind, EE Dept) MS Thesis, January 2014.
  • Chaitanya Kumar, ``Information theoretic measures to incorporate multiple feature streams in the linguistic search space for automatic speech recognition,'' MS Thesis, 2013 (Co-guide: Prof. C Chandra Sekhar).
  • Subhadeep Dey, ``Universal syllable models for language identification,'' MS Thesis, IIT Madras, 2013.
  • Santosh Kumar Chaudhari, ``Green IT: Energy efficient techniques for network management for core networks and data centers,'' MS Thesis, IIT Madras, 2013.
  • Cyriac James, ``Relevance of time series in network traffic modeling: In the context of TCP SYN DOS attacks,'' M S Thesis, IIT Madras, 2012.
  • R Padmanabhan, ``Studies on voice activity detection and feature diversity for Speaker Recognition,'' Ph.D Thesis, IIT Madras, 2012.
  • Rajesh Janakiraman, ``Syllable Segmentation and its Application to Syllable-centric Continuous Speech Recognition,'' M.S Thesis, IIT Madras, 2012 (Co-guide: Prof. C Chandra Sekhar).
  • S Ranbir Singh ``On the significance of crawling, clustering and real-time implicit feedback in web search engines,'' (Co-guide: T A Gonsalves) Phd Thesis, 2010.
  • Nikhil Ranjan ``GARCH Models for TCP Based Denial of Service,'' (co-guide: T A Gonsalves) M S Thesis, 2010.
  • P R Ramya, ``Incorporating acoustic feature diversity in linguistic search space for speech recognition,'' (Co-guide C S Ramalingam, EE Dept) MS Thesis, 2009.
  • Sadhana Chevireddy, ``A syllable-based segment vocoder,'' (Co-guide: Dr. C Chandra Sekhar, Dept. of CS&E), MS Thesis, 2009.
  • Y R Venugopalakrishna, ``Methods for improving the quality of syllable-based speech synthesis for Indian languages,'' (Co-guide: Prof. C S Ramalingam, Dept. of EE) MS Thesis, IIT Madras, 2009
  • P G Deivapalan, ``A Segmented Syllable-based, Isolated Word Recognizer for Indian Languages,'' M S Thesis, 2009.
  • Pranav Hamnabhadkar, ``Pattern Recognition and Synthesis of Materials Microstructures,'' (Co-guide: Dr. K Balasubramanian, Director, NFTDC, Hyderabad) MS Thesis, 2009.
  • Sreenivasulu Nagireddy, ``A Pattern Recognition Approach to Block Cipher Identification,''(Co-guide: Dr. C Chandra Sekhar, Dept. of CS&E), MS Thesis, 2009.
  • M Kasirajan, ``Patram: A unified word processing system for handwritten character recognition in Indian languages,'' (Co-guide: Dr. Srinivasa Chakravarthy, Dept of BT), MS Thesis, IIT Madras, 2008.
  • P Sreehari Krishnan, ``Voice activity detection using group delay functions,'' M S Thesis, IIT, Madras, 2007.
  • A Lakshmi, ``A Syllable-based approach to continuous speech recognition inIndian languages,'' (Co-guide, Prof. C S Ramalingam, Dept. of EE) M S Thesis, IIT, Madras, 2007.
  • Samuel Thomas, ``Natural sounding Text-to-speech synthesis based on syllable-like units,'' (Co-guide: Prof. C Chandra Sekhar, Dept. of CS&E) M S Thesis, IIT, Madras, 2007.
  • Dinil Mon Divakaran, ``Traffic Modeling and Analysis,'' (Co-guide: Prof. TA Gonsalves, Dept. of CS&E) M S Thesis, IIT, Madras, 2007.
  • P Manohar, ``The Multimodal Interaction for the Computer: An Application independent Approach,'' M.S Thesis, IIT Madras, 2006.
  • Vinod J, ``Low cost Data Communication network for Rural Telecom Management,'' (Co-Guide: Prof. T.A. Gonsalves, Dept. CS&E, IIT Madras) M S Thesis, IIT Madras, 2006.
  • G L Sarada, ``Automatic Transcription of Continuous Speech into Syllable-like Units,'' M.S Thesis, IIT Madras, 2006.
  • Rajesh Hegde, ``The Modified Group Delay feature and its application to Speech Recognition,'' Ph.d Thesis,IIT Madras, 2005.
  • R Deepak, ``Distributed Intrusion Detection System,''(Co-Guide: Prof. T.A.Gonsalves, Dept. CS&E, IIT Madras), M S Thesis, IIT Madras, 2005.
  • Veena Desai, ``Distributed Speech Recognition,'' (Co-guide: Prof.T A Gonsalves, Dept. of CS&E, IIT Madras), M.S Thesis, IIT Madras, 2005.
  • T. Nagarajan, ``Implicit Spoken Language Identification Systems,'' Ph.d Thesis, IIT Madras, 2004.
  • G.Sirisha, ``A DSP Virtual Machine,'' M S Thesis, IIT Madras, 2004(Co-Guide: Prof. T.A.Gonsalves, Dept. CS&E, IIT Madras)
  • N Sridhar Krishna, ``Multilingual Text-to Speech Synthesis,'' M S Thesis IIT Madras, 2004 (Co-Guide: Prof. T.A.Gonsalves, Dept. CS&E, IIT Madras)
  • M Balamurugan, ``An Access Network Planner,'' M S Thesis, IIT Madras, 2004 (Co-Guide: Prof. T.A.Gonsalves, Dept. CS&E, IIT Madras)
  • M. A. Saifulla, ``A Pattern Matching Approach to Classifying Network Traffic,'' M.S Thesis, IIT Madras, 2003, (Co-Guide: Prof. T.A.Gonsalves, Dept. of CS&E).
  • V Kamakshi Prasad, ``Segmentation and Recognition of Continuous Speech,'' Ph.D Thesis, IIT Madras, 2002.
  • A Ramasamy, ``LP Based Traffic Modelling and a Framework for Control,'' M.S.Thesis, IIT Madras, 2002 (Co-Guide: Prof.T.A.Gonsalves, Dept. of CS&E).
  • B Jyotsana, ``A Spoken Language Identification System for Indian Languages,'' M.S. Thesis, IIT Madras, 2001.
  • S Vela, ``A New Model of Speaker Identification based on Statistical Similarity and an Object Oriented Framework for Online Speaker Identification,'' M.S.Thesis, IIT Madras, 1999.
  • J Srichand, ``Word Boundary Detection in Indian Languages and its Application to Keyword Spotting,'' M.S.Thesis, IIT Madras, 1999 (Co-guide:Dr.G.V.Ramana Rao).
  • M Narendranath, ``Transformation of Vocal Tract Characteristics for Voice Conversion using Artificial Neural Networks,'' M.S. Thesis, IIT Madras, 1995 (Co-Guide: Prof.B.Yegnanarayana, Dept. of CS&E).
  • Contact Information:
    BSB 307
    Department of Computer Science and Engineering
    Indian Institute of Technology Madras
    Chennai - 600 036
    Ph: +91-44-2257 4364
    Fax: +91-44-2257 4352
    E-mail: hema AT cse DOT iitm DOT ac DOT in

  • Research Interests: Speech processing, recognition synthesis, computer networks, music processing.
  • Social Interests: School education , Science popularisation , Communal harmony, global warming, women empowerment
  • Membership: IEEE Society, Indian scientists against nuclear weapons, Movement for Peace and Unity, Tamilnadu science forum, Prakriti (a group at IITM that is concerned about the environment).
  • Publications (Recent):
  • Jeena J Prakash and Hema A Murthy, ``Analysis of Inter-Pausal Units in Indian Languages and its Application to Text-to-Speech Synthesis,'' accepted for publication in IEEE Trans. on Acoustics Speech and Language Processing,2019.
  • Jeena J Prakash, Golda Brunet and Hema A Murthy, ``Importance of signal processing cues in transcription correction for low resource Indian languages,'' accepted for publication in ACM Trans. on Asian and low Resource Language Information Processing,2019.
  • J. Sebastian, M. G. Kumar, V. S. Viraraghavan, M. Sur and H. A. Murthy, ``Spike Estimation From Fluorescence Signals Using High-Resolution Property of Group Delay,'' in IEEE Transactions on Signal Processing, vol. 67, no. 11, pp. 2923-2936, 1 June 1, 2019. doi: 10.1109/TSP.2019.2908913
  • Mari Ganesh Kumar, Saranya M S, Shrikanth Narayanan, Mriganka Sur, Hema Murthy, ``Subspace techniques for task independent EEG person identification,'' accepted for presentation IEEE EMBC, Germany,July 23-27, 2019.
  • Rini A Sharon, Sidharth Aggarwal, purvi goel, raviraj joshi, Mriganka Sur, Hema Murthy, Sriram Ganapathy, ``Level-wise Subject adaptation to improve classification of motor and mental EEG tasks,'' accepted for presentation IEEE EMBC, Germany,July 23-27, 2019.
  • Srihari Maruthachalam, Mari Ganesh Kumar, Hema Murthy,''Time Warping Solutions for Classifying Artifacts in EEG,'' accepted for presentation IEEE EMBC, Germany,July 23-27, 2019.
  • R. A. Sharon, S. Narayanan, M. Sur and H. A. Murthy, ``An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG,'' ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 4090-4094. doi: 10.1109/ICASSP.2019.8683572
  • N. Dawalatabad, S. Madikeri, C. C. Sekhar and H. A. Murthy, ``Incremental Transfer Learning in Two-pass Information Bottleneck Based Speaker Diarization System for Meetings,'' ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 6291-6295. doi: 10.1109/ICASSP.2019.8683114
  • Raviraj Joshi, Purvi Goel, Mriganka Sur and Hema Murthy, ``Single Trial P300 Classification Using Convolutional LSTM and Deep Learning Ensembles Method,'' IHCI, Allahabad, Springer Link, pp. 3-15, Dec 2018.
  • Purvi Goel, Raviraj Joshi, Mriganka Sur, and Hema A. Murthy, ``A Common Spatial Pattern approach for classification of mental counting and motor execution EEG,'' IHCI, Allahabad, Springer Link, pp.26-35, Dec 2018.
  • Venkatasubramanian Viraraghavan, Hema A Murthy and R Aravind, ``Precision of sung notes in Carnatic music,'' ISMIR, Paris, France, 2018.
  • Awards:
  • Fellow of INAE, 2017.
  • ISCA board member 2017-2021.
  • Indian Language text-to-speech synthesis systems integrated with screen readers, GE innovation award and first prize in research expo, Shaastraa 2013.
  • Prof. Rais Ahmed Memorial Lecture Award, Acoustical Society of India, 2012.
  • Text to speech synthesis in Indian Languages, Manthan Award Finalist (top 74 out ~450 projects), 2012.
  • IBM Faculty award, 2006.
  • Projects:
  • Text to speech synthesis: Resources available
  • Text to speech synthesis: Online HTS systems
  • Text to speech synthesis: Online USS systems
  • Discovery of Carnatic Music -- CompMusic Project.
  • CompMusic -- IIT Madras Demos
  • Speaker Verification
  • Computational Neuroscience
  • Other Activities:

    Personal Photo Gallery

    Trek Photos

    Detailed Curriculum Vitae