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
Courses (Teaching Currently/next Semester):
- Speech and Music Technology Lab
Pattern Recognition and Machine Learning
Courses (that I have Taught Before):
- CS6150 -- Advanced Programming Lab
Research Scholars (current):
- Linear Algebra and Random Processes
- Pattern Recogntion
- Speech Technology
- Principles of Communication
- Advanced Data Structures and Algorithms
- Data Structures and Algorithms
- Computer Networks
- Computer Graphics
- Signals and Systems
- Fundamentals of Computing
- Numerical Computing
- Programming and Data Structures
- Information Theory and Coding
- Introduction to Computing
- Algorithms for Digital Signal Processing
- Network Management Systems
- Digital Image and Speech Processing
- Object Oriented Systems Lab
- Advanced Programming Lab
- Higher Level Language Lab
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
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).
- Jom Kuriacose (PhD)
- Venkatasubramanian Viraraghavan (PhD -- external co-guide: R Aravind -- EE Dept)
- Anusha Prakash (PhD, co-guide: Umesh S -- EE Dept)
- T Anand (PhD)
- Gowriprasad (PhD) (co-guide: R Aravind) -- EE Dept)
- Saish Jaiswal (PhD)
- Sudhanshu Srivastava (MS - Project)
- Bhagyashree Mukherjee (MS - Project)
- Mano Ranjith Kumar (MS -- Project)
- Ishika Gupta (MS -- Project)
- Ashish Seth (MS -- Project) (co-guide: Umesh S -- EE Dept)
- Vasista Lodagala (MS -- Project) (co-guide: Umesh S -- EE Dept)
- A Arun Kumar (MS) (co-guide: Umesh S -- EE Dept)
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).
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,
Ashish Mishra, Hema A Murthy and A Pandey, ``Zero-shot Learning for Action Recognition using Synthesized features,'' Neurocomputing, 23 January 2020.
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.
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
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Detailed Curriculum Vitae
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