Dr. Spoorthy Venkatesh

Designation: Assistant Professor

Academic Area: Artificial Intelligence, Natural Language Processing, Database Management System

Brief Profile:

Dr. Spoorthy V. is an Assistant Professor at Adani University, Ahmedabad, specializing in machine learning and deep learning for auditory scene analysis and natural language processing. Her research bridges human-centric acoustic modeling with intelligent data-driven systems. She previously served at CHARUSAT, Anand, contributing to teaching, research mentoring, and curriculum development in AI. She holds a B.E. in Information Science and Engineering (2016), an M.Tech. in Computer Science from NIT Goa (2018), and a Ph.D. from NITK Surathkal (2024), where her research focused on sound event detection, source localization, and acoustic scene classification. Dr. Spoorthy has published in reputed international journals and conferences, and actively guides undergraduate and postgraduate research, while contributing to academic development through collaborative research and curriculum enhancement.


  • 2018–2024 Ph.D., National Institute of Technology Karnataka Surathkal, (Computer Science and Engineering, CGPA: 9.33)
  • 2016–2018 MTech. National Institute of Technology Goa. (Computer Science and Engineering, CGPA: 8.46)
  • 2009–2013 B.E., G M Institute of Technology, Visveswaraya Technological University. (Information Science and Engineering, Percentage: 70.1%)
  • HSC March 2012, JSS College for Women, Mysore, Karnataka
  • SSC March 2010, Don Bosco ICSE School, Chitradurga, Karnataka

  • Jan 2024 – July 2025 – Assistant Professor, Dept. of AI-ML, CSPIT, CHARUSAT

  • NPTEL – Elite + Silver Certification for the Course “Introduction to Machine Learning”
  • NPTEL – Elite Certification for the Course “Deep Learning for Natural Language Processing”
  • Best Paper Award for the Paper titled “Code-Switching Automatic Speech Recognition using Modified ESPNet” in the International Conference on Applied Mechanics, Machine Learning and Advanced Computation (AMMLAC-2022)

Audio processing, Speech Processing, Deep Learning, Machine Learning

Journals:

  • Venkatesh, Spoorthy, Manjunath Mulimani, and Shashidhar G. Koolagudi. “Acoustic Scene Classification using Deep Fisher network.” Digital Signal Processing (ELsevier), 139 (2023): 104062.
  • Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “Bi-level Acoustic Scene Classification using Lightweight Deep Learning Model.” Circuits, Systems and Signal Processing (Springer) (2023): pp: 1-20
  • Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “Polyphonic Sound Event Detection using Mel-Pseudo Constant Q-Transform and Deep Neural Network”, IETE Journal of Research (Taylor & Francis) (2023): pp: 1-13
  • Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “Polyphonic Sound Event Localization and Detection using Channel-Wise FusionNet.” Applied Intelligence (Springer): (2024) pp:1-12
  • Mulimani, M., Venkatesh, Spoorthy. & Koolagudi, S.G. “Acoustic Event and Scene Classification: A Review”. SN Computer Science (Springer). 6, 54 (2025)
  • Kumar TG, Keerthan., Mendke Saish., Parihar, Rohit., Mayya, Samarth, Venkatesh, Spoorthy. & Koolagudi, S.G. “DBNLP: detecting bias in natural language processing system for India-centric languages”. International Journal of Information Technology (Springer): (2025) pp: 1-16

Conferences:

  • Venkatesh, Spoorthy, Shubham Dodia, and Nirav Bhatt. “A Research on Big Data Analytics using Artificial Intelligence.” 8th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS), vol 1112, Springer LNNS, 2024.
  • Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “Device robust acoustic scene classification using adaptive noise reduction and convolutional recurrent attention neural network.” In 24th International Conference On Speech And Computer, pp. 688-699. Cham: Springer International Publishing, 2022.
  • Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “A Transpose-SELDNet for Polyphonic Sound Event Localization and Detection.” In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp. 1-6. IEEE, 2023.
  • Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “Polyphonic Sound Event Detection using Modified Recurrent Temporal Pyramid Neural Network.” In 8th International Conference On Computer Vision and Image Processing (CVIP-2023), 2023 (Accepted and Presented).
  • Venkatesh, Spoorthy, Mulimani, Manjunath, and Shashidhar G. Koolagudi. “Acoustic scene classification using deep learning architectures.” In 2021 6th International Conference for Convergence in Technology (I2CT), pp. 1-6. IEEE, 2021.
  • Venkatesh, Spoorthy, Veena Thenkanidiyoor, and Dileep Aroor Dinesh. “SVM Based Language Diarization for Code-Switched Bilingual Indian Speech Using Bottleneck Features.” In Spoken Language Technologies for Under-resourced Languages (SLTU), pp. 132-136. 2018.
  • Kaushal Kishor, Venkatesh, Spoorthy, Shashidhar G. Koolagudi. “Audio Fingerprinting System to Detect and Match Audio Recordings”, 10th International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2023
  • Dodia Shubham, Venkatesh, Spoorthy, Chandak Trupti. “Machine Learning-based Automated System for Subjective Answer Evaluation”, 9th International Conference on Electronics, Computing and Communication Technologies, (CONECCT), pp. 1-6, 2023.
  • Sinha, Swarnabha, Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “Code-switching automatic speech recognition using modified ESPNet.” In AIP Conference Proceedings, vol. 2745, no. 1. AIP Publishing, 2023.
  • Gupta, Surya Prakash, Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “Noise Cancellation by Fast Fourier Transform for Wav2Vec2. 0 based Speech-to-Text System.” In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp. 1-4. IEEE, 2023.
  • Antony, Ansen, Sumanth Reddy Kota, Akhilesh Lade, Venkatesh, Spoorthy, and Shashidhar G. Koolagudi. “An Improved Transformer Transducer Architecture for Hindi-English Code Switched Speech Recognition.” In 23rd INTERSPEECH, pp. 3123-3127. 2022.
  • Thomas, Tintu, Venkatesh, Spoorthy, N. V. Sobhana, and Shashidhar G. Koolagudi. “Speaker recognition in emotional environment using excitation features.” In 2020 third international conference on advances in electronics, computers and communications (ICAECC), pp. 1-6. IEEE, 2020.
  • Sandhya, P., Venkatesh, Spoorthy, Shashidhar G. Koolagudi, and N. V. Sobhana. “Spectral features for emotional speaker recognition.” In 2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC), pp. 1-6. IEEE, 2020.

Artificial Intelligence, Speech and audio Processing