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):
  • Pattern Recognition and Machine Learning
  • Courses (that I have Taught Before): Research Scholars (current): Research Scholars (completed) PhD:
  • Karthik Pandia D S, "Unsupervised Acoustic Unit Discovery and its applications to Speech Technology," PhD Thesis 2022.
  • Rini A Sharon, ``Neural decoding of speech-equivalents from scalp-recorded electroencephalogram,'' PhD Thesis, 2022.
  • Mari Ganesh Kumar, ``Subspace Based Methods for Processing Brain Signals,'' PhD Thesis, 2021.
  • Ashish Mishra, ``A new approach for the classification of novel class objects in the Zero-Shot Learning Framework,'' PhD Thesis, 2021.
  • Nauman Dawalatabad, ``Novel Methods for Unsupervised Information Bottleneck based Speaker Diarization'', (Co-Guide: C Chandra Sekhar) PhD Thesis, 2021.
  • Jeena J Prakash, "Transcription correction and rhythm analysis for applications in text to speech synthesis forIndian languages," PhD Thesis, 2020.
  • M S Saranya, "Feature Switching a new paradigm for speaker recognition and spoof detection," (Reports Received), PhD Thesis, 2020.
  • Jilt Sebastian, ''Novel Methods for Time-Event Detection and Source Separation,'' Ph.D Thesis, 2019.
  • Golda Brunet Rajan, ``Transcription correction using signal processing and its application to continuous speech recognition,'' PhD Thesis 2018.
  • 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.
  • 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.
  • R Padmanabhan, ``Studies on voice activity detection and feature diversity for Speaker Recognition,'' Ph.D Thesis, IIT Madras, 2012.
  • 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.
  • Rajesh Hegde, ``The Modified Group Delay feature and its application to Speech Recognition,'' Ph.d Thesis,IIT Madras, 2005.
  • T. Nagarajan, ``Implicit Spoken Language Identification Systems,'' Ph.d Thesis, IIT Madras, 2004.
  • V Kamakshi Prasad, ``Segmentation and Recognition of Continuous Speech,'' Ph.D Thesis, IIT Madras, 2002.
  • Research Scholars (completed) MS:
  • Sidharth Aggarwal, ``Analysis of EEG signals for building Brain Computer Interface Systems,'' MS Thesis, 2021.
  • Anju Leela Thomas, ``Code Switching in Indic Speech Synthesisers," submited May 2020.
  • Srihari Maruthachalam, "Artifacts analysis in EEG and its applications in building brain-computer interfaces," submitted Feb 2020.
  • 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.
  • Sridharan Sankaran, ``Segmentation of Music Items: A Computational Perspective,'' M S 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)
  • 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.
  • 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).
  • 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.
  • 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.
  • 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).
  • 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):
  • Karthik Pandia and Hema A Murthy, ``Acoustic unit discovery using transient and steady-state regions in speech and its applications,''Journal of Phonetics, Elsevier, Volume 88, September 2021, 101081
  • M. G. Kumar, S. Narayanan, M. Sur and H. A. Murthy, "Evidence of Task-Independent Person-Specific Signatures in EEG Using Subspace Techniques," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2856-2871, 2021, doi: 10.1109/TIFS.2021.3067998.
  • Sebastian J, Sur M, Murthy HA, Magimai-Doss M (2021) Signal-to-signal neural networks for improved spike estimation from calcium imaging data. PLoS Comput Biol 17(3): e1007921. https://doi.org/10.1371/journal.pcbi.1007921
  • Kumar MG, Hu M, Ramanujan A, Sur M, Murthy HA (2021) Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas. PLoS Comput Biol 17(2): e1008548. https://doi.org/10.1371/journal.pcbi.1008548
  • N. Dawalatabad, S. Madikeri, C. C. Sekhar and H. A. Murthy, "Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 14-27, 2021, doi: 10.1109/TASLP.2020.3036231.
  • R. A. Sharon, S. S. Narayanan, M. Sur and H. A. Murthy, "Neural Speech Decoding During Audition, Imagination and Production," in IEEE Access, vol. 8, pp. 149714-149729, 2020, doi: 10.1109/ACCESS.2020.3016756.
  • Arun Baby, Jeena J Prakash, Aswin Shanmugam, and Hema A Murthy, ``Significance of Spectral Cues in Automatic Speech Segmentation for Indian Language Speech Synthesizers,'' Vol 123, pp.10-25, Speech Communication, Elsevier, 2020.
  • Viraraghavan,Venkata Subramanian and Pal,Arpan and Aravind,Rangarajan and Murthy,Hema A., ``Data-driven measurement of precision of components of pitch curves in Carnatic music,'' The Journal of the Acoustical Society of America, Vol 147, No. 5, pp.3657-3666, 2020, doi:10.1121/10.0001313.
  • Ashish Mishra, Hema A Murthy and A Pandey, ``Zero-shot Learning for Action Recognition using Synthesized features,'' Neurocomputing, 23 January 2020.
  • Awards:
  • Fellow of ISCA (International Speech Communication Association), 2022
  • 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

    My Living Will