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Dr. Susmitha Vekkot

Assistant Professor (Sl. Gd), Department of Electronics and Communication Engineering, School of Engineering, Bengaluru

Qualification: B. Tech., MS, Ph.D
v_susmitha@blr.amrita.edu
Research Interest: Speech and signal processing, Machine learning and deep learning for speech, Image and signal processing

Bio Publications Professional Appointments Membership in Professional Bodies Awards Courses Taught Student Guidance Research Grants Received
Bio

Dr. Susmitha Vekkot is currently serving as Assistant Professor (Sl. Gd) in Dept of ECE, Amrita Vishwa Vidyapeetham Bangalore campus. She is the recipient of Govt. of India’s Visvesvaraya Full-time scholarship for pursing Ph D. She has more than a decade of experience in teaching and research space. She has extensive experience teaching engineering subjects associated with applied electronics, speech processing, machine learning and signal processing. Her primary research interests are in signal, speech and image processing with focus on machine learning applications of speech, text, signal, image and video processing in health care, agriculture and human-computer interaction.

Education

  • Ph. D. (2021)
    School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru
  • M. S. (2009)
    London Metropolitan University, UK
  • BTech (2003)
    University of Calicut
Publications

Conference Paper

Year : 2024

Enhancing Deep fake Detection: Leveraging Deep Models for Video Authentication

Cite this Research Publication : S Babitha, Vikram Sundaram, Susmitha Vekkot, "Enhancing Deep fake Detection: Leveraging Deep Models for Video Authentication", The 15th International IEEE Conference on Computing, Communication and Networking Technologies (ICCCNT) , IIT Mandi,, June 24-28, 2024

Year : 2022

Comparative Deep Network Analysis of Speech Emotion Recognition Models using Data Augmentation

Cite this Research Publication : Prasanna, Y. L., Tarakaram, Y., Mounika, Y., Palaniswamy, S., & Vekkot, S. (2022, December). Comparative Deep Network Analysis of Speech Emotion Recognition Models using Data Augmentation. In 2022 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON) (Vol. 2, pp. 185-190). IEEE

Publisher : IEEE

Year : 2022

Telugu Dialect Speech Dataset Creation and Recognition using Deep Learning Techniques

Cite this Research Publication : Podila, R. S. A., Kommula, G. S. S., Ruthvik, K., Vekkot, S., & Gupta, D. (2022, November). Telugu Dialect Speech Dataset Creation and Recognition using Deep Learning Techniques. In 2022 IEEE 19th India Council International Conference (INDICON) (pp. 1-6). IEEE

Publisher : IEEE

Year : 2022

Comparative study of Deep Classifiers for Early Dementia Detection using Speech Transcripts

Cite this Research Publication : Nambiar, A. S., Likhita, K., Pujya, K. S., Gupta, D., Vekkot, S., &Lalitha, S. (2022, November). Comparative study of Deep Classifiers for Early Dementia Detection using Speech Transcripts. In 2022 IEEE 19th India Council International Conference (INDICON) (pp. 1-6). IEEE.

Publisher : IEEE

Year : 2022

Word-Level Speech Dataset Creation for Sourashtra and Recognition System Using Kaldi

Cite this Research Publication : Vancha, P., Nagarajan, H., Inakollu, V. S., Gupta, D., & Vekkot, S. (2022, November). Word-Level Speech Dataset Creation for Sourashtra and Recognition System Using Kaldi. In 2022 IEEE 19th India Council International Conference (INDICON) (pp. 1-6). IEEE

Publisher : IEEE

Year : 2022

Creation of GIF dataset and implementation of a speech-to-sign language translator in Telugu

Cite this Research Publication : Reddy, B. R., Reddy, D. S. T., Preetham, S., & Vekkot, S. (2022, November). Creation of GIF dataset and implementation of a speech-to-sign language translator in Telugu. In 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon) (pp. 1-7). IEEE.

Publisher : IEEE

Year : 2022

Tamil Speech Recognition Using XLSR Wav2Vec2. 0 & CTC Algorithm

Cite this Research Publication : Akhilesh, A., Brinda, P., Keerthana, S., Gupta, D., & Vekkot, S. (2022, October). Tamil Speech Recognition Using XLSR Wav2Vec2. 0 & CTC Algorithm. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.

Publisher : IEEE

Journal Article

Year : 2023

Dementia Speech Dataset Creation and Analysis in Indic Languages—A Pilot Study

Cite this Research Publication : Susmitha Vekkot, Nagulapati Naga Venkata Sai Prakash, Thirupati Sai Eswar Reddy, Satwik Reddy Sripathi, S. Lalitha, Deepa Gupta, Mohammed Zakariah, and Yousef Ajami Alotaibi published a paper titled, “Dementia Speech Dataset Creation and Analysis in Indic Languages—A Pilot Study”, in IEEE Access with Impact Factor 3.9 on 20th November 2023

Publisher : IEEE

Year : 2022

Dementia detection from speech using machine learning and deep learning architectures

Cite this Research Publication : Kumar, M. R., Vekkot, S., Lalitha, S., Gupta, D., Govindraj, V. J., Shaukat, K., ... &Zakariah, M. (2022). Dementia detection from speech using machine learning and deep learning architectures. Sensors, 22(23), 9311

Publisher : Sensors

Year : 2022

Fusion of spectral and prosody modelling for multilingual speech emotion conversion

Cite this Research Publication : Susmitha Vekkot, Deepa Gupta, "Fusion of spectral and prosody modelling for multilingual speech emotion conversion", Knowledge-Based Systems, Volume 242, 108360, ISSN 0950-7051, 2022.

Publisher : Elsevier

Year : 2020

Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network

Cite this Research Publication : S. Vekkot, D. Gupta, M. Zakariah and Y. A. Alotaibi, "Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network," in IEEE Access, vol. 8, pp. 74627-74647, 2020, doi: 10.1109/ACCESS.2020.2988781.

Publisher : IEEE Access

Year : 2020

Speaker-independent Expressive Voice Synthesis using Learning-based Hybrid Network Model

Cite this Research Publication : Susmitha Vekkot and Gupta, D., “Speaker-independent Expressive Voice Synthesis using Learning-based Hybrid Network Model”, International Journal of Speech Technology, pp. 1-17, 2020.

Publisher : International Journal of Speech Technology

Year : 2020

Voice Conversion System Based on Deep Neural Networks

Cite this Research Publication : V. Naveena, Susmitha Vekkot, and K. Priya, J., “Voice Conversion System Based on Deep Neural Networks”, Journal of Computational and Theoretical Nanoscience, vol. 17, pp. 316-321, 2020.

Publisher : Journal of Computational and Theoretical Nanoscience

Year : 2019

Prosodic Transformation in Vocal Emotion Conversion for Multi-lingual Scenarios: A Pilot Study

Cite this Research Publication : Susmitha Vekkot and Gupta, D., “Prosodic Transformation in Vocal Emotion Conversion for Multi-lingual Scenarios: A Pilot Study”, . International Journal of Speech Technology, vol. 22, no. 3, pp. 533-549, 2019.

Publisher : International Journal of Speech Technology

Year : 2019

Hybrid Framework for Speaker-Independent Emotion Conversion Using i-Vector PLDA and Neural Network

Cite this Research Publication : Susmitha Vekkot, Gupta, D., Zakariah, M., and Alotaibi, Y. Ajami, “Hybrid Framework for Speaker-Independent Emotion Conversion Using i-Vector PLDA and Neural Network”, IEEE Access, vol. 7, pp. 81883-81902, 2019.

Publisher : IEEE Access

Unknown

Year : 2022

A Comparative Study of Feature Modelling Methods for Telugu Language Identification

Cite this Research Publication : Jaswanth, M., Narayana, N. K., Rahul, S., & Vekkot, S. (2022, December). A Comparative Study of Feature Modelling Methods for Telugu Language Identification. In 2022 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON) (Vol. 2, pp. 151-156). IEEE

Publisher : IEEE

Conference Proceedings

Year : 2019

Emotion Conversion in Telugu using Constrained Variance GMM and Continuous Wavelet Transform-F0

Cite this Research Publication : Susmitha Vekkot and Gupta, D., “Emotion Conversion in Telugu using Constrained Variance GMM and Continuous Wavelet Transform-$F_0$”, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON). 2019.

Publisher : TENCON

Year : 2018

Laughter Synthesis using Mass-spring Model and Excitation Source Characteristics

Cite this Research Publication : K. Juhitha, Susmitha Vekkot, Yogesh, M. Jay, Tripathi, S., and Shashank, R., “Laughter Synthesis using Mass-spring Model and Excitation Source Characteristics”, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). pp. 1102-1108, 2018.

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2017

Glottal excitation and spectral mapping for voice conversion

Cite this Research Publication : Avarachan A., Susmitha Vekkot and Tripathi S., “Glottal excitation and spectral mapping for voice conversion”, International Conference on Signal and Image Processing (ICSIP 2017) . 2017.

Publisher : International Conference on Signal and Image Processing

Year : 2017

Voice Transformation using Pitch and Spectral Mapping

Cite this Research Publication : A. Yathigiri, Bathula, M., Kothapalli, S., Susmitha Vekkot, and Tripathi, S., “Voice Transformation using Pitch and Spectral Mapping”, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI). pp. 1540–1544, 2017.

Publisher : International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2017

Vocal emotion conversion using wsola and linear prediction

Cite this Research Publication : Susmitha Vekkot and Tripathi, S., “Vocal Emotion Conversion using Wsola and Linear Prediction”, International Conference on Speech and Computer (SPECOM 19, vol. 10458 LNAI. Springer Verlag, pp. 777-787, 2017.

Publisher : Lecture Notes in Computer Science

Year : 2017

Building a generalized model for multi-lingual vocal emotion conversion

Cite this Research Publication : Susmitha Vekkot, “Building a Generalized Model for multi-lingual Vocal Emotion Conversion”, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII). 2017.

Publisher : 7th International Conference on Affective Computing and Intelligent Interaction

Year : 2016

Significance of Glottal Closure Instants detection algorithms in Vocal Emotion Conversion

Cite this Research Publication : Susmitha Vekkot and Dr. Shikha Tripathi, “Significance of Glottal Closure Instants detection algorithms in Vocal Emotion Conversion”, 7th International Workshop on Soft Computing Applications (SOFA2016), 24-26 Aug, 2016, Arad, Romania, Proceedings published by Springer (Scopus-Indexed). 2016.

Publisher : 7th International Workshop on Soft Computing Applications (SOFA2016), 24-26 Aug, 2016, Arad, Romania, Proceedings published by Springer (Scopus-Indexed).

Year : 2016

Inter-emotion conversion using dynamic time warping and prosody imposition

Cite this Research Publication : Susmitha Vekkot and Dr. Shikha Tripathi, “Inter-emotion conversion using dynamic time warping and prosody imposition”, Advances in Intelligent Systems and Computing, vol. 530. pp. 913-924, 2016.

Publisher : Advances in Intelligent Systems and Computing.

Year : 2016

Interconversion of emotions in speech using TD-PSOLA

Cite this Research Publication : B. Akanksh, Susmitha Vekkot, and Dr. Shikha Tripathi, “Interconversion of emotions in speech using TD-PSOLA”, Advances in Signal Processing and Intelligent Recognition Systems, vol. 425. Springer , pp. 367-378, 2016.

Publisher : Advances in Signal Processing and Intelligent Recognition Systems

Year : 2015

Gaussian Filter Based à-Trous Algorithm for Image Fusion

Cite this Research Publication : Susmitha Vekkot and Shukla, P., “Gaussian Filter Based à-Trous Algorithm for Image Fusion”, Proceedings of the Third International Symposium on Women in Computing and Informatics. Association for Computing Machinery, New York, NY, USA, 2015.

Publisher : Association for Computing Machinery, New York

Year : 2010

Wavelet Based Medical Image Fusion Using Filter Masks

Cite this Research Publication : Susmitha Vekkot, “Wavelet Based Medical Image Fusion Using Filter Masks”, Trends in Intelligent Robotics. Springer Berlin Heidelberg, Berlin, Heidelberg, 2010.

Publisher : Springer Berlin Heidelberg

Year : 2009

A Novel Architecture for Wavelet based Image Fusion

Cite this Research Publication : Susmitha Vekkot and Shukla, P., “A Novel Architecture for Wavelet based Image Fusion”, World Academy of Science, Engineering and Technology. 2009.

Publisher : World Academy of Science

Professional Appointments
Year  Affiliation
July 2021 – Present Assistant Professor (Senior Grade), School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru
2015-2021 Visvesvaraya Research Scholar in School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru.
2011-2015 Assistant Professor (Senior Grade), School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru
July-October 2007 Lecturer, PES Institute of Technology, Bangalore
2004-2007 Lecturer, College of Engineering, Kidangoor, Kerala
March-June 2004 Junior Research Fellow, C-DAC, Trivandrum
Membership in Professional Bodies
  • IEEE Member
Awards

Certificates, Awards & Recognitions

  • Recipient of Visvesvaraya Full-time Ph D Scholarship, Ministry of Electronics and Information Technology, Government of India during 2015-2020
  • London Metropolitan University, Master of Science – Best Masters Award for Academic Excellence 2008/09
  • London Metropolitan University, Master of Science – Faculty of Computing Best Student Award 2008/09
  • London Metropolitan University, Master of Science – Best Postgraduate Communications Technology Student Prize 2008/09
  • Deep Learning Specialization Certification from Coursera
Courses Taught
  • Signals & Systems
  • Digital Signal Processing
  • AI in Speech Processing
  • Soft Computing
  • Control Engineering
  • Industrial Instrumentation
  • Biomedical Instrumentation
  • Linear Integrated Circuits
  • Digital Electronics
  • Simulation & Modelling
  • Microprocessors
  • Basic Electronics
  • Digital Communication
  • Machine Learning
Student Guidance

B. Tech

  1. Name of the Students: Shiksha Rai., Rishitha, Sri Hari Lasya Topic: Development of an e-health package for pathological voice detection Status: Completed
  2. Name of the Students: M V N sai Kiran, Poorna Shreya K, Rishikesh PSB
    Topic: Design And Development of Multi Modal Automated Dementia Detection System
    Status: Completed
  3. Name of the Students: SreePratap Reddy, Ajay Kumar, ThattaSaket
    Topic: Development of learning-based model with language recognition system for Agro call centres
    Status: Completed

Undergraduate Students

  1. Name of the Students: Adabala T. B. M., Swami Naidu, Ankit Kumar, Alamuri Rohith
    Topic: Pathological Voice Recognition
    Status: Completed
  2. Name of the Students: Saisumana P., Shreya R., Shruthi Palani
    Topic: Speech enhanced audio source separation for selective hearing applications
    Status: Completed
  3. Name of the Students: Devaki Venkata, Sumanth, Gunnareddy Avinash, A. V. V. Ushha Kirran
    Topic: FPGA Implementation of Image Enhancement for Low Light Photography
    Status: Completed

Research Scholars

As Supervisor:

  • Name of the Students: Vasuki M
    Topic: Image & Video Processing
    Status: Ongoing

As Co-Supervisor :

  • Name of Students :Aashitha L Shamma
    Topic: Pulmonary disease detection from audio
    Status:Ongoing
Research Grants Received
Year Funding Agency Title of the Project Investigators Status
2023 – 2025( 2 years) Defense Research & Development Organisation (DRDO) Neural Machine Translation for zero-resource Indic languages using semi-supervised and unsupervised learning-based approaches Dr. Deepa Gupta (Principal Investigator)
Dr. Susmitha Vekkot (Co-Principal Investigator)
Dr. Premjith B (Co-Principal Investigator)		 Sanctioned/On-going
2015-2020 Miety, Visvesvaraya PhD scholarship Emotion synthesis Susmitha Vekkot (scholar-full-time),

Dr Deepa Gupta (Thesis supervisor)

 Completed
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