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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: Signal processing, image and video processing, speech processing, natural language processing, AI/ML/DL applications for speech, EEG, image, video, signal and text applications for healthcare, education and societal good , hardware accelerators for machine learning algorithms, Computer vision

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 : 2025

Integrating AI Architectures for EEG Data Analysis and Brain Activity Classification

Cite this Research Publication : Shourjyo Bhattacharya, Susmitha Vekkot, Integrating AI Architectures for EEG Data Analysis and Brain Activity Classification, 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2025, https://doi.org/10.1109/icicv64824.2025.11085817

Publisher : IEEE

Year : 2025

Emotion-Driven Conversational AI: Speech Recognition and Response with Emotional Intonation

Cite this Research Publication : Namratha B., Pranav Venkata Rama Chintalapudi, Susmitha Vekkot, Sreeja Kochuvila, Emotion-Driven Conversational AI: Speech Recognition and Response with Emotional Intonation, 2025 3rd International Conference on Inventive Computing and Informatics (ICICI), IEEE, 2025, https://doi.org/10.1109/icici65870.2025.11069581

Publisher : IEEE

Year : 2025

Performance Analysis of Transfer Learning Techniques for Hand-Gesture Controlled Robot

Cite this Research Publication : Mandru Vamsi Venkata Krishna, N. Neelima, Susmitha Vekkot, Performance Analysis of Transfer Learning Techniques for Hand-Gesture Controlled Robot, 2025 Third International Conference on Networks, Multimedia and Information Technology (NMITCON), IEEE, 2025, https://doi.org/10.1109/nmitcon65824.2025.11188917

Publisher : IEEE

Year : 2025

Summarization and Translation of NPTEL Videos into Regional Indian Languages

Cite this Research Publication : Gnanapriya M A, Pranav A, Rochan Ramakrishnan, Susmitha Vekkot, Vivek Venugopal, Summarization and Translation of NPTEL Videos into Regional Indian Languages, 2025 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI), IEEE, 2025, https://doi.org/10.1109/apci65531.2025.11137103

Publisher : IEEE

Year : 2025

Interpreting Lung Cancer Predictions Using CNN-Derived Features and Machine Learning Models

Cite this Research Publication : Sandeep Vasekara P, Abishai G, Shanthosh M, Suryanarayan C, Vivek Venugopal, Susmitha Vekkot, Interpreting Lung Cancer Predictions Using CNN-Derived Features and Machine Learning Models, 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE, 2025, https://doi.org/10.1109/icaect63952.2025.10958931

Publisher : IEEE

Year : 2025

Identifying AI-Generated Text Designed to Evade Plagiarism Detection

Cite this Research Publication : Aarushi Singh Ahlawat, Jaithra Sarma Karlapalam, Priyam Joshi, Vivek Venugopal, Susmitha Vekkot, Identifying AI-Generated Text Designed to Evade Plagiarism Detection, 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), IEEE, 2025, https://doi.org/10.1109/icaiss61471.2025.11042029

Publisher : IEEE

Year : 2025

Comprehensive Approach to Fraudulent Job Post Detection Using Machine Learning and BERT Models

Cite this Research Publication : S. S. Suhas Sanisetty, G. Namrithaa S, S. V. Kotamaraja, B. Nagendra Reddy, S. Vekkot and Bhavana V, "Comprehensive Approach to Fraudulent Job Post Detection Using Machine Learning and BERT Models," 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India, 2025, pp. 1-6, doi: 10.1109/ICDCECE65353.2025.11035352.

Publisher : IEEE

Year : 2025

An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features

Cite this Research Publication : S L Saran Kumar, Arjun Dileep, Shreya Sujith, Vivek Venugopal, Susmitha Vekkot, An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features, 2025 International Conference on Innovation in Computing and Engineering (ICE), IEEE, 2025, https://doi.org/10.1109/ice63309.2025.10983914

Publisher : IEEE

Year : 2025

Hybrid Semantic and Contextual Analysis for Multilingual Fake News Detection Using Deep Learning

Cite this Research Publication : Manushri Tummala, Mahadevi E Malkhed, Susmitha Vekkot, Hybrid Semantic and Contextual Analysis for Multilingual Fake News Detection Using Deep Learning, 2025 3rd International Conference on Disruptive Technologies (ICDT), IEEE, 2025, https://doi.org/10.1109/icdt63985.2025.10986464

Publisher : IEEE

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 : 2025

Sample-Efficient Audio Emotion Recognition Using a Deep Reinforced Active Learning Framework

Cite this Research Publication : V. P. Reshmi, Deepa Gupta, Susmitha Vekkot, Smita Srivastava, Sample-Efficient Audio Emotion Recognition Using a Deep Reinforced Active Learning Framework, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3631075

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

An enhanced grey wolf optimization method for feature selection and explainable prediction in chronic disease analytics

Cite this Research Publication : Sibasish Dhibar, Deepa Gupta, Gopalakrishnan E.A., Susmitha Vekkot, An enhanced grey wolf optimization method for feature selection and explainable prediction in chronic disease analytics, Decision Analytics Journal, Elsevier BV, 2025, https://doi.org/10.1016/j.dajour.2025.100655

Publisher : Elsevier BV

Year : 2025

Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers

Cite this Research Publication : Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi, Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2024.3524452

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Development of a diacritic-aware large vocabulary automatic speech recognition for Hausa language

Cite this Research Publication : Abdulqahar Mukhtar Abubakar, Deepa Gupta, Susmitha Vekkot, Development of a diacritic-aware large vocabulary automatic speech recognition for Hausa language, International Journal of Speech Technology, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s10772-024-10111-x

Publisher : Springer Science and Business Media LLC

Year : 2024

Development of a non-invasive Covid-19 detection framework using explainable AI and data augmentation

Cite this Research Publication : Aashitha L. Shamma, Susmitha Vekkot, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi, Development of a non-invasive Covid-19 detection framework using explainable AI and data augmentation
, Journal of Intelligent & Fuzzy Systems, SAGE Publications, 2024, https://doi.org/10.3233/jifs-219387

Publisher : SAGE Publications

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

Conference Proceedings

Year : 2025

Enhanced Driver Drowsiness Detection Using Deep Learning: Comparative Analysis of CNN Architectures for Video-Based Monitoring Systems

Cite this Research Publication : Ramesh Bhuvan Sai, Susmitha Vekkot, Enhanced Driver Drowsiness Detection Using Deep Learning: Comparative Analysis of CNN Architectures for Video-Based Monitoring Systems, 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), IEEE, 2025, https://doi.org/10.1109/icdcece65353.2025.11035146

Publisher : IEEE

Year : 2025

Embedding-Based Framework for Disaster Tweets Classification With Explainable AI Insights for Machine Learning Models

Cite this Research Publication : Sana Akhila, Kallepalli Rahul Varma, Kurukundu Dhanush Sai, Susmitha Vekkot, Kirti S. Pande, Embedding-Based Framework for Disaster Tweets Classification With Explainable AI Insights for Machine Learning Models, 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), IEEE, 2025, https://doi.org/10.1109/iementech65115.2025.10959533

Publisher : IEEE

Year : 2025

Realistic Lip-Sync Generation from Text for Multimodal Applications

Cite this Research Publication : Doradla Kaushik, Konduru Praveen Karthik, Taduvai Satvik Gupta, Susmitha Vekkot, Realistic Lip-Sync Generation from Text for Multimodal Applications, 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), IEEE, 2025, https://doi.org/10.1109/iatmsi64286.2025.10984895

Publisher : IEEE

Year : 2025

Advancing ASR for Indian-Accented English: Dataset Creation and Whisper Fine-Tuning

Cite this Research Publication : Jaswanth Kunisetty, Pranav Ramachandrula, Sruthi S, Susmitha Vekkot, Deepa Gupta, Advancing ASR for Indian-Accented English: Dataset Creation and Whisper Fine-Tuning, Procedia Computer Science, Elsevier BV, 2025, https://doi.org/10.1016/j.procs.2025.04.513

Publisher : Elsevier BV

Year : 2025

Audio-Based Video Segmentation for Long Duration Videos Using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics

Cite this Research Publication : M. Vasuki, Rimjhim Padam Singh, Susmitha Vekkot, Vivek Venugopal, Audio-Based Video Segmentation for Long Duration Videos Using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics, Communications in Computer and Information Science, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-79041-6_22

Publisher : Springer Nature Switzerland

Year : 2025

Enhanced Lip Reading Using Deep Model Feature Fusion: A Study on the MIRACL-VC1 Dataset

Cite this Research Publication : Susmitha Vekkot, Taduvai Satvik Gupta, Konduru Praveen Karthik, Doradla Kaushik, Enhanced Lip Reading Using Deep Model Feature Fusion: A Study on the MIRACL-VC1 Dataset, Procedia Computer Science, Elsevier BV, 2025, https://doi.org/10.1016/j.procs.2025.04.353

Publisher : Elsevier BV

Year : 2024

Dementia Detection Using Machine Learning in Males and Females

Cite this Research Publication : Aishwarya Hariharan Iyer, Susmitha Vekkot, Deepa Gupta, E A Gopalakrishnan, Dementia Detection Using Machine Learning in Males and Females, 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit), IEEE, 2024, https://doi.org/10.1109/globalaisummit62156.2024.10947948

Publisher : IEEE

Year : 2024

Interpretable Handwritten Digit Classification: Analyzing Feature Extraction and Explainable AI on the Extended MNIST Dataset

Cite this Research Publication : S. Thamaraiselvan, Vivek Venugopal, Susmitha Vekkot, Interpretable Handwritten Digit Classification: Analyzing Feature Extraction and Explainable AI on the Extended MNIST Dataset, 2024 13th International Conference on System Modeling & Advancement in Research Trends (SMART), IEEE, 2024, https://doi.org/10.1109/smart63812.2024.10882523

Publisher : IEEE

Year : 2024

Unravelling stress levels in continuous speech through optimal feature selection and deep learning

Cite this Research Publication : Kavya Duvvuri, Harshitha Kanisettypalli, Teja Nikhil Masabattula, Susmitha Vekkot, Deepa Gupta, Mohammed Zakariah, Unravelling stress levels in continuous speech through optimal feature selection and deep learning, Procedia Computer Science, Elsevier BV, 2024, https://doi.org/10.1016/j.procs.2024.04.163

Publisher : Elsevier BV

Year : 2024

Enhancing Content Based Collaborative Filtering Recommendations Using Weighted Word Embeddings

Cite this Research Publication : Pennabadi Devendra Reddy, K Satya Sampath Reddy, P Gnaneswarachary, P Lakshmikanth Reddy, Manju Venugopalan, Susmitha Vekkot, Priyanka C Nair, Enhancing Content Based Collaborative Filtering Recommendations Using Weighted Word Embeddings, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, https://doi.org/10.1109/icccnt61001.2024.10724582

Publisher : IEEE

Year : 2024

Empowering Facial Analytics: A Unified Approach for Emotion, Age, Gender and Object Identification

Cite this Research Publication : Babitha Senthil, Vikram Sundaram, Abhinav Singh Chauhan, Susmitha Vekkot, Empowering Facial Analytics: A Unified Approach for Emotion, Age, Gender and Object Identification, 2024 11th International Conference on Signal Processing and Integrated Networks (SPIN), IEEE, 2024, https://doi.org/10.1109/spin60856.2024.10512093

Publisher : IEEE

Year : 2024

Leveraging Acoustic Features and Deep Neural Architectures for Audio Deepfake Detection

Cite this Research Publication : Vikram Sundaram, Babitha S, Susmitha Vekkot, Leveraging Acoustic Features and Deep Neural Architectures for Audio Deepfake Detection, 2024 11th International Conference on Advances in Computing and Communications (ICACC), IEEE, 2024, https://doi.org/10.1109/icacc63692.2024.10845392

Publisher : IEEE

Year : 2024

Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)

Cite this Research Publication : Junyu Chen, Susmitha Vekkot, Pancham Shukla, Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET), ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024, https://doi.org/10.1109/icassp48485.2024.10448020

Publisher : IEEE

Year : 2024

Multi-Modal Automatic Video Segmentation with Sentence Transformer Embeddings and KeyBERT-Based Subtopic Extraction

Cite this Research Publication : M Vasuki, M Arun Gangadharan, Jibin Thomas Daniel, Arjun Sadashiv, Vivek Venugopal,Susmitha Vekkot, Multi-Modal Automatic Video Segmentation with Sentence Transformer Embeddings and KeyBERT-Based Subtopic Extraction, 2024 2nd World Conference on Communication & Computing (WCONF).

Publisher : IEEE

Year : 2024

An Explainable Hybrid Learning Model for Indian Food Image Classification

Cite this Research Publication : C Harishankar, Neha S Anoop, K S Niranjana, Adity Biju, Vivek Venugopal, Susmitha Vekkot, An Explainable Hybrid Learning Model for Indian Food Image Classification, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT),2024.

Publisher : IEEE

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

Year :

Sarcasm Detection in Newspaper Headlines

Cite this Research Publication : Prasad, B. S., Babu, N. A., Reddy, T. H., Reddy, A. V. V., Vekkot, S., & Nair, P. C. (2024, June). Sarcasm Detection in Newspaper Headlines. In 2023 4th International Conference on Intelligent Technologies (CONIT) (pp. 1-8). IEEE.

Publisher : IEEE

Professional Appointments
Year Affiliation
July 2024 -till date Asst Professor (Selection Grade), School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru
July 2021 – 2024 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

  • Research Committee Member 2025-27
  • AIRA Research Award for Tier 1 publications 2023, 2024
  • AIRA Research Award for Extra-mural research grant 2024
  • 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
  • Foundations of Data Science
  • Advanced AI for Robotics
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

PhD Scholar Guidance:

  • Ms. Anjana Menon
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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