snapshot Hema A Murthy


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

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):
  • Speech Technology course schedule
  • Courses (that I have Taught Before): Research Scholars (current): Research Scholars (completed) PhD:
  • Ashish Mishra, ''A new approach for the classification of novel class objects in the Zero-Shot Learning Framework," PhD Thesis, submitted 2021.
  • Nauman Dawalatabad,''Novel Methods for Unsupervised Information Bottleneck based Speaker Diarization," PhD Thesis, submitted 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.
  • 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.
  • 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:
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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):
  • Arun Baby, Jeena J Prakash, Aswin Shanmugam, and Hema A Murthy, ``Significance of Spectral Cues in Automatic Speech Segmentation for Indian Language Speech Synthesizers,'' accepted for publication Speech Communication, Elsevier, 2020.
  • Venkatasubramanian Viraraghavan, Arpan Pal, Hema Murthy, R Aravind, ``STATE-BASED TRANSCRIPTION OF COMPONENTS OF CARnatic Music,'' accepted for presentation at ICASSP 2020. <\LI>
  • Rini A Sharon and Hema A Murthy, ``Comparison of Feature-Model Variants for coSpeech-EEG Classification,'' accepted for presentation at NCC 2020.
  • Sidharth Aggarwal, Rini A Sharon and Hema A Murthy, ``P300 Based Stereo Localization of Single Frequency Audio Stimulus,''acceoted for presentation at NCC 2020.
  • MARI GANESH KUMAR, SUVIDHA RUPESH KUMAR, SARANYA M S, Bharathi B, Hema A Murthy, ``Spoof detection using time-delay shallow neural network and feature switching,'' accepted for presentation at ASRU 2019, Singapore.
  • 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.
  • Anusha Prakash, Anju Leela Thomas, Umesh S and Hema A Murthy, ``Building Multilingual End-to-End Speech Synthesisers for In-dian Languages'', presented at SSW 10, Vienna, Satellite workshop of INTERSPEECH Sept 20-22, 2019.
  • Karthik Pandia and Hema A Murthy, ``Zero resource speech synthesis using transcripts derived from perceptual acoustic units,'' accepted for presentation at INTERSPEECH 2019, Graz, Austria.
  • Venkatasubramanian Viraraghavan, Rahul Gavas, Hema A Murthy and R Aravind, ``Visualizing Carnatic music as projectile motion in a uniform gravitational field,'' SMM 2019 Satellite workshop INTERSPEECH 2019, Vienna September 14 2019
  • 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:

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