snapshot Hema A Murthy

Professor Emeritus (Hon)

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 Music and Vision Lab
Research Scholars (current): Research Scholars (completed) PhD:
  • Anusha Prakash, ``End-to-End Speech Synthesis Systems for Indian Languages,'' (Guides: S Umesh, EE Dept, Hema A Murthy, CSE Dept), 2024.
  • Venkatasubramanian Viraraghavan, "Automatic descriptive transcription of Carnatic Music," (R Aravind, EE Dept, Hema A Murthy, CSE Dept, Arpan Pal, TCS Research) PhD Thesis, 2022.
  • 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,''(Guides: Umesh S, Hema A Murthy) 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'', (Guides: Hema A Murthy, 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," (Guides: Hema A Murthy, IIT Madras R Padmanabhan, IIT Mandi), 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,'' (Guides: Hema A Murthy, 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,'' (Guides: Hema A Murthy, 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:
  • Sudhanshu Srivasatava, ``Hybrid Speech Synthesis Systems for Indian Languages,'' (Guides: C Chandra Sekhar, Hema A Murthy), MS Thesis, 2025.
  • Ishika Gupta, ``Data Augmentation for Expressive Speech Synthesis,'' (Guides: C Chandra Sekhar, Hema A Murthy) MS Thesis 2024.
  • Mano Ranjith Kumar, "Exploration of isochronous lip-syncing techniques for transcreating lecture videos," MS Thesis, 2023.
  • Bhagyashree Mukherjee, "Towards Cross-lingual voice conversion for conversational speech," MS Thesis, 2023.
  • 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 (Guides: S. Umesh, EE Dept, Hema A Murthy CSE Dept)
  • Ashwin Bellur, ``Automatic identification of tonic in Indian classical music,''(Guides: R Aravind, EE Dept, Hema A Murthy, CSE 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 (Hema A Murthy, 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 (Guides:Hema A Murthy, C Chandra Sekhar).
  • Nikhil Ranjan ``GARCH Models for TCP Based Denial of Service,'' (Guides: Hema A Murthy, T A Gonsalves) M S Thesis, 2010.
  • P R Ramya, ``Incorporating acoustic feature diversity in linguistic search space for speech recognition,'' (Guides: C S Ramalingam, EE Dept, Hema A Murthy) MS Thesis, 2009.
  • Sadhana Chevireddy, ``A syllable-based segment vocoder,'' (Guides: C Chandra Sekhar, Hema A Murthy), MS Thesis, 2009.
  • Y R Venugopalakrishna, ``Methods for improving the quality of syllable-based speech synthesis for Indian languages,'' (Guides: C S Ramalingam, EE Dept, Hema A Murthy) 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,'' (Guides: Dr. K Balasubramanian, Director, NFTDC, Hyderabad, Hema A Murthy) MS Thesis, 2009.
  • Sreenivasulu Nagireddy, ``A Pattern Recognition Approach to Block Cipher Identification,''(Guides: Hema A Murthy, C Chandra Sekhar), MS Thesis, IIT Madras, 2009.
  • M Kasirajan, ``Patram: A unified word processing system for handwritten character recognition in Indian languages,'' (GUides:Srinivasa Chakravarthy, Dept of BT, Hema A Murthy), 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,'' (Guides: C S Ramalingam, EE Dept, Hema A Murthy) M S Thesis, IIT, Madras, 2007.
  • Samuel Thomas, ``Natural sounding Text-to-speech synthesis based on syllable-like units,'' (Guides: Hema A Murthy, C Chandra Sekhar) M S Thesis, IIT, Madras, 2007.
  • Dinil Mon Divakaran, ``Traffic Modeling and Analysis,'' (Guides: TA Gonsalves, Hema A Murthy) 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,'' (Guides: T.A. Gonsalves, Hema A Murthy) 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,''(Guides: T A Gonsalves, Hema A Murthy), M S Thesis, IIT Madras, 2005.
  • Veena Desai, ``Distributed Speech Recognition,'' (Guides: T A Gonsalves, Hema A Murthy), M.S Thesis, IIT Madras, 2005.
  • G.Sirisha, ``A DSP Virtual Machine,'' (Guides: Hema A Murthy, T.A.Gonsalves) M S Thesis, IIT Madras, 2004
  • N Sridhar Krishna, ``Multilingual Text-to Speech Synthesis,''(Guides: Hema A Murthy, T.A.Gonsalves) M S Thesis IIT Madras, 2004
  • M Balamurugan, ``An Access Network Planner,''(Guides: Hema A Murthy, T.A.Gonsalves IIT Madras) M S Thesis, IIT Madras, 2004
  • M. A. Saifulla, ``A Pattern Matching Approach to Classifying Network Traffic,''(Guides: Hema A Murthy, T.A.Gonsalves) M.S Thesis, IIT Madras, 2003.
  • 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,''(Guides: G.V.Ramana Rao, Hema A Murthy) M.S.Thesis, IIT Madras, 1999 .
  • M Narendranath, ``Transformation of Vocal Tract Characteristics for Voice Conversion using Artificial Neural Networks,''(Guides: B Yegnanarayana, Hema A Murthy) M.S. Thesis, IIT Madras, 1995.

    • 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, computational brain research, music processing.

  • Social Interests: School education, Science popularisation , Communal harmony, global warming, women empowerment

  • Membership: IEEE Society, ISCA, 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):
  • Rini Sharon and Hema A Murthy, ``Harnessing the Multi-phasal Nature of Speech-EEG for Enhancing Imagined Speech Recognition,'' accepted for publication in IEEE Open Journal of Signal Processing.
  • Saish Jaiswal, Hema A Murthy, Manikandan Narayanan, ``SpecGMM: Integrating Spectral analysis and Gaussian Mixture Models for taxonomic classification and identification of discriminative DNA regions,'' Bioinformatics Advances, Volume 4, Issue 1, 2024, vbae171, https://doi.org/10.1093/bioadv/vbae171
  • R Gowriprasad, T Anand, R Aravind and Hema A Murthy, ``Linear Prediction on Cent scale for fundamental frequency analysis, JASA Express Letters Vol 4, No. 12, 123201(2024) https://doi.org/10.1121/10.0034516.
  • T Anand, R Gowriprasad, Saish Jaiswal, R Aravind and Hema A Murthy, ``EEG Responses for Dhrupad Stimulus: A Case Study,'' IEEE SPCOM, IISc Bangalore, July 1-4 2024.
  • Ishika Gupta and Hema A Murthy, ``E-TTS: Expressive Text-to-Speech Synthesis for Hindi Using Data Augmentation,'' International Conference on Speech and Computer, pp. 243-257, Springer Nature 2023
  • Anusha Prakash, Umesh S and Hema A Murthy, ``Towards Developing State-of-the-Art TTS Synthesisers for 13 Indian Languages with Signal Processing aided Alignments,''pp.1-8, ASRU 2023.
  • Gowriprasad R, Srikrisha, R Aravind and Hema A Murthy, ``Segmentation and Analysis of Taniavartanam in Carnatic Music Concerts,'' ISMIR 2023.
  • Anand T, Aathira Balachandran and Hema A Murthy, ``Identification and Severity Assessment of COVID-19 using Lung CT Scans,'' IEEE Access Nov 2023.http://dx.doi.org/10.36227/techrxiv.22181980.
  • Kuriakose, Jom; Suresh, Veena; Dutta, Shrey; Murthy, Hema; Murthy, M V N, ``On the concept of Raga parentage in Carnatic Music,'' Journal of New Music Research, 2023.
  • R Gowriprasad, R Aravind and Hema A Murthy, ``Structural Segmentation and Labeling of Tabla Solo Performances,'' Journal of New Music Research, 2023.
  • Anusha Prakash and Hema A Murthy, ``Exploring the role of language families for building Indic speech synthesisers,'' IEEE Trans. Audio, Speech and Langauge Processing, pp. 734-747, Vol 31, 2023.
    • Awards:
  • Appointed to the ISCA Advisory Council, 2024.
  • Fellow of Asia Pacific Artificial Intelligence Association, 2023.
  • 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
  • Discovery of Carnatic Music -- CompMusic Project.
  • TTS, VTV Demos
  • Speaker Verification
  • Computational Neuroscience

    • Detailed Curriculum Vitae

    My Living Will