Shashidhar G Koolagudi

Date of Joining at NITK:

Friday, February 15, 2013

Length of Professional Experience:

22 years. At NITK: 7 yearshttps://scholar.google.co.in/citations?user=Gg6UXV8AAAAJ&hl=en

Contact Details

E-mail:

koolagudi[AT]nitk[DOT]edu[DOT]in

Telephone:

+91-0824-2473413

Mobile:

+91-9986332545

Personal Website:

https://cse.l3.nitk.ac.in/faculty/shashidhar-g-koolagudi

Author Identifiers

SCOPUS ID:

https://www.scopus.com/authid/detail.uri?authorId=23397105900

Google Scholar:

https://scholar.google.co.in/citations?user=Gg6UXV8AAAAJ&hl=en

Academic Background

Ph.D, Indian Institute of Technology, Kharagpur, 2011
M.Tech (CSIT), Bengal Engineering and Science University (Formerly BE College), Howrah, West Bengal, 2005
B.E. (CSE), Karnataka University Dharwad, Karnataka, 1995

Areas of Interest

Speech and Audio Processing
Image Processing
Machine Learning/Intelligence

Significant Projects

Significant projects:

1. Project Title: An automatic system for identification of phonological processes in children of age from 2.5 years to 6.5 years,
Role: Principal Investigator.
Duration: 2016 – 2019
Funding Agency: CSRI DST

2. Project Title: Emotion analytics from speech
Role: Principal Investigator
Duration: 2017
Funding Agency: KOVID research Lab, Hyderabad

3. Project Title : Retinal cysts identification and quantification from low SNR OCT scans using image processing techniques
Role : Principal Investigator
Duration : 2017 - 2020
Funding Agency : DST (SERB) under EMR grant
Amount : 35 Lakhs

4. Project Title: Speaker recognition system for Kannada language in emotional environment
Role: Principal Investigator
Funding Agency: CSRI DST
Amount : 40 Lakhs
Duration: 2020-2023

Supervision of Ph.D

Supervision of PhD:

06 (Completed)

1. Vathsala H., New Data Mining Approach to Assist Prediction of Monsoon Rainfall in India. [Completed] (2018)

2. Soumya Hegde, Scalable and Resilient Software Defined Networks. (Jointly with Prof. Swapan Bhattacharya.) [Completed] (2019)

3. Y. V. Srinivasa Murthy, Content-based Music Information Retrieval and its Applications towards Music Recommendation. [Completed] (2019)

4. Nagaratna B. Chittaragi, Speech Processing Approaches towards Characterization and Identification of Dialects. [Completed] (2020)

5. Manjunath Mulimani, Acoustic Scene Classification using Speech Features. [Completed] (2020)

6. Pravin B. Ramteke, Phonology Analysis from Children Speech. [Completed] (2022)

7. Priyanka Kumari, Mineral Identification of Martian Surface Using Super-vised Learning Approach from Crism Hyperspectral Data. (2024)

8. Spoorthy V., Acoustic Scene Classification. (2024)

9. Keerthan Kumar T G, Efficient Embedding Strategies for Heterogeneous Virtual Network Requests Over Cloud Infrastructure. (2025)

10. Akhila P, Latent Fingerprint Matching in Adverse Conditions (2025)

07 (Ongoing)

1. Sujata S Supanekar, Gender based Phonological Process Analysis from Children’s Speech (2018)

2. Pradyoth Hegde, Characterization and Identification of Dialects in the Kannada Language (2018)

3. Siva Krishna M, Dialect Classification in Kannada Language (2018)

4. Spoorthy .V, Acoustic Scene Classification (2018)

5. Rashmi, Speaker recognition in Emotional Environment.

6. Garima Pandey, Device Robust Acoustic Scene Classification.

7. Shalini Tomar, Speaker recognition in Emotional Environment in Kannada Language.

Significant Publications

Books

Emotion Recognition using Speech Features by K. Sreenivasa Rao and Shashidhar G. Koolagudi Springer Briefs in Electrical and Computer Engineering, 2013, ISBN 978-1-4614-5143-3
Robust Emotion Recognition using Spectral and Prosodic Features, by K. Sreenivasa Rao and Shashidhar G. Koolagudi Springer Briefs in Electrical and Computer Engineering, 2013, ISBN 978-1-4614-6360-3

Book Chapters

Fake news detection using machine learning algorithms, by Joan L Imb-waga, Nagaratna B Chittaragi, Shashidhar G. Koolagudi in Proceed-ings of the 2022 Fourteenth International Conference on Contemporary Computing, pp. 271-275 (Published by: ACM, 2022).
Sentence-based dialect identification system using extreme gradient boost-ing algorithm, by Nagaratna B Chittaragi, Shashidhar G. Koolagudi in Smart Computing Paradigms: New Progresses and Challenges: Proceedings of ICACNI 2018, Volume 1, pp. 131-138 (Published by: Springer,2020)
Emotion Classification Based on Speaking Rate, Shashidhar G. Koolagudi, Sudhin Ray and K. Sreenivasa Rao, Communications in Computer and Information Science (CCIS), (Published by: Springer, 2010)
IITKGP-SESC : Speech database for emotion analysis, Shashidhar G. Koolagudi, Vuppala Anil Kumar, Saswat Chakrabarti, Sudhamay Maity and K. Sreenivasa Rao, Contemporary computing (CCIS), pp. 485-492. (Published by: Springer, 2009)
Exploring Speech Features for Classifying Emotions Along Valence Dimension, Shashidhar G. Koolagudi and K. Sreenivasa Rao, Pattern Recognition and Machine Intelligence (LNCS), (Published by: Springer, 2009)
Unit selection using linguistic, prosodic prosodic and spectral distance for developing text-to-speech system in Hindi, K. Sreenivasa Rao, Shashidhar G. Koolagudi, Sudhamay Maity and Amol Taru, Pattern Recognition and Machine Intelligence (LNCS), (Published by: Springer, 2009)
Voice Transformation by Mapping the Features at Syllable Level, by K. Sreenivasa Rao, R. H. Laskar and Shashidhar G. Koolagudi in Lecture Notes in Computer Science, pp. 479-486. (Published by: Springer, 2007).
Emotion Classification Based on Speaking Rate, Shashidhar G. Koolagudi, Sudhin Ray and K. Sreenivasa Rao, Communications in Computer and Information Science (CCIS), Springer, 2010.

Journals:

Shalini Tomar, Shashidhar G. Koolagudi, “Blended-emotional speech for Speaker Recognition by using the fusion of Mel-CQT spectrograms feature extraction” Expert Systems with Applications, Elsevier, volume 276, 127184, pp. 1-13, 2025.
Debanik Banerjee, Nagaratna B Chittaragi, Shashidhar G. Koolagudi, “Video forgery localization using inter-frame denoising and intra-frame segmentation” Multimedia Tools and Applications, pp. 1-17, 2025.
Spoorthy Venkatesh, Shashidhar G. Koolagudi, “Acoustic Event and Scene Classification: A Review” SN Computer Science, Volume 6, article number 54, 2025. 4. Keerthan Kumar TG, Saish Mendke, Rohit Parihar, Samarth Mayya,
Spoorthy Venkatesh, Shashidhar G. Koolagudi, “DBNLP: detecting bias in natural language processing system for India-centric languages” International Journal of Information Technology, pp. 1-16, 2025.
Joan L Imbwaga, Nagaratna B Chittaragi, Shashidhar G. Koolagudi,“Explainable hate speech detection using LIME”, International Journal of Speech Technology, volume 23, pp. 793-815, 2024.
Akhila P and Shashidhar G. Koolagudi, “Latent fingerprint segmentation using multi-scale attention U-Net”, International Journal of Biometrics, Volume 16, Issue 2, pp. 195 - 215, 2024.
Pramukha R.N., Akhila P., Shashidhar G. Koolagudi, “End-to-end latent finger print enhancement using multi-scale Generative Adversarial Network” Pattern Recognition Letters, Volume 184, pp. 169-175, 2024.
Spoorthy Venkatesh, Shashidhar G. Koolagudi, “Bi-level Acoustic Scene Classification Using Lightweight Deep Learning Model” Circuits, Systems, and Signal Processing, Volume 43, pp. 388–407, 2024.
Spoorthy Venkatesh, Shashidhar G. Koolagudi, “Polyphonic sound event localization and detection using channel-wise FusionNet” Applied Intelligence, Volume 54, pp. 5015–5026, 2024.
Spoorthy Venkatesh, Shashidhar G. Koolagudi, “Polyphonic sound event detection using Mel-Pseudo constant Q-Transform and deep neural network”, IETE Journal of Research, Volume 70, pp. 5031-5043, 2024.
Spoorthy Venkatesh, Manjunath Mulimani, Shashidhar G. Koolagudi, “Acoustic Scene Classification using Deep Fisher Network” Digital Signal Processing, Volume 139, pp. 1-13, 2023.
Kushan Shekhar, Nagaratna B Chittaragi, Shashidhar G. Koolagudi, “Automatic diagnosis of COVID-19 related respiratory diseases from speech”Multimedia Tools and Applications, Volume 82, pp. 36599-36614, 2023.
TG Keerthan Kumar, Sourav Kanti Addya, Shashidhar G. Koolagudi,“Inds: Intelligent drl strategy for effective virtual network embedding of an online virtual network requests” IEEE Access, 2023.
Keerthan Kumar TG, Shivangi Tomar, Sourav Kanti Addya, Anurag Satpathy, Shashidhar G. Koolagudi, “EFraS: Emulated framework to develop and analyze dynamic Virtual Network Embedding strategies over SDN infrastructure” Simulation Modelling Practice and Theory, Volume 134,pp.102952,2023
Ansen Antony, Sumanth Reddy Kota, Akhilesh Lade, V. Spoorthy, Shashidhar G. Koolagudi, “An Improved Transformer Transducer Architecture for Hindi-English Code Switched Speech Recognition” Proc. Interspeech,2022, pp. 3123-3127.
Keerthan Kumar TG, R Anoop, Shashidhar G. Koolagudi, Trupthi Rao, Ashwini Kodipalli, “Stratification of depressed and non-depressed texts from social media using lstm and its variants”, Procedia Computer Science, Volume 235, pp. 1353-1363, 2022.
Keerthan Kumar TG, Sourav Kanti Addya, Anurag Satpathy, Shashidhar G. Koolagudi, “NORD: NOde Ranking-based efficient virtual network embedding over single Domain substrate networks”, Elsevier, Volume 225, pp. 109661, 2022.
Nagaratna B Chittaragi, Shashidhar G. Koolagudi, “Dialect identification using chroma-spectral shape features with ensemble technique”Computer Speech & Language, Volume 70, pp. 101230, 2021
Nagaratna B Chittaragi, Shashidhar G. Koolagudi, “Automatic dialect identification system for Kannada language using single and ensemble SVM algorithms” Language Resources and Evaluation, Volume 54, pp.553-585, 2019.
Rishabh Ranjan, H Vathsala, Shashidhar G. Koolagudi, “Profile generation from web sources: an information extraction system.” Social Network Analysis and Mining, pp. 1-12, 2022.
H Vathsala, Shashidhar G. Koolagudi, “Neuro-fuzzy model for quantified rainfall prediction using data mining and soft computing approaches.”IETE Journal of Research, pp. 1-11, 2021.
Murthy, YV Srinivasa, Shashidhar G. Koolagudi, and TK Jeshventh Raja. ”Singer identification for Indian singers using convolutional neural networks.” International Journal of Speech Technology, 1–16, 2021.
Nagaratna B Chittaragi, Shashidhar G. Koolagudi, “Dialect identification using chroma-spectral shape features with ensemble technique,”Computer Speech & Language, Volume 70, pp. 101230, 2021.
Ramteke, Pravin Bhaskar, Sujata Supanekar, and Shashidhar G. Koolagudi.”Classification of Aspirated and Un-aspirated Sounds in Speech using Ex-citation and Signal Level Information.” Computer Speech & Language,62, 1–18, 2020.
Manjunath Mulimani, Shashidhar G. Koolagudi. ”Robust Acoustic Event Classification using Fusion Fisher Vector features.” Applied Acoustics, 155, 130–138, 2019.
Manjunath Mulimani, Shashidhar G. Koolagudi. ”Segmentation and Characterization of Acoustic Event Spectrograms using Singular Value Decomposition.” Expert Systems with Applications, 120, 413–425, 2019.
Manjunath Mulimani, Shashidhar G. Koolagudi. ”Extraction of MapReduce based Features from Spectrograms for Audio-based Surveillance.” Digital Signal Processing, 87, 1–9, Elsevier, 2019.
Chittaragi, N. B., Shashidhar G. Koolagudi ”Acoustic-phonetic feature based Kannada dialect identification from vowel sounds.” International Journal of Speech Technology, 22, 1099–1113, 2019.
Ramteke, P. B.,Shashidhar G. Koolagudi ”Phoneme boundary detection from speech: A rule based approach.” Speech Communication, 107,1–17, 2019.
Chittaragi, N. B., Prakash, A., Shashidhar G. Koolagudi ”Dialect Identification Using Spectral and Prosodic Features on Single and Ensemble Classifiers.” Arabian Journal for Science and Engineering, 43(8), 4289–4302, 2018.
Shashidhar G. Koolagudi, Murthy, Y. S., Bhaskar, S. P. ”Choice of a classifier, based on properties of a dataset: case study—speech emotion recognition.” International Journal of Speech Technology, 21(1), 67–183,2018.
Murthy, Y. S., Shashidhar G. Koolagudi ”Content-based music information retrieval (CB-MIR) and its applications toward the music industry: A review.” ACM Computing Surveys (CSUR), 51(3), 1–46, 2018.
Murthy, Y. S., Shashidhar G. Koolagudi ”Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS).” Expert Systems with Applications, 106, 77–91, 2018.
Chatterjee, S., Shashidhar G. Koolagudi ”Hierarchical secret sharing scheme using parts of speech of English grammar.” International Journal of Security and Networks, 12(4), 241–254, 2017.
Vathsala, H., Shashidhar G. Koolagudi ”Prediction model for peninsular Indian summer monsoon rainfall using data mining and statistical approaches.” Computers & Geosciences, 98, 55–63, 2017.
Samsekai Manjabhat, S., Shashidhar G. Koolagudi, Rao, K. S., Ramteke, P. B. ”Raga and tonic identification in carnatic music.” Journal of New Music Research, 46(3), 229–245, 2017.
H, V., Shashidhar G. Koolagudi ”Long-range prediction of Indian summer monsoon rainfall using data mining and statistical approaches.” Theoretical and Applied Climatology, 130, 19–33, 2017.
Shashidhar G. Koolagudi, Bharadwaj, A., Srinivasa Murthy, Y. V. et al. ”Dravidian language classification from speech signal using spectral and prosodic features.” International Journal of Speech Technology, 20,1005–1016, 2017.
Raghuram, M. A., Chavan, N. R., Belur, R., Shashidhar G. Koolagudi ”Bird classification based on their sound patterns.” International Journal of Speech Technology, 19, 791–804, 2016.
Vathsala, H., Shashidhar G. Koolagudi ”Closed Item-Set Mining for Prediction of Indian Summer Monsoon Rainfall.” Procedia Computer Science, 54, 271–280, 2015.
Saumya Hegde, Shashidhar G. Koolagudi, Bhattacharya, S. ”Scalable and Fair Forwarding of Elephant and Mice Traffic in Software Defined Networks.” Computer Networks, 92(P2), 330–340, 2015.
Rao, K. S., Nandi, D., Shashidhar G. Koolagudi ”Film segmentation and indexing using auto-associative neural networks.” International Journal of Speech Technology, 17(1), 65–74, 2014.
Krothapalli, S. R., Shashidhar G. Koolagudi ”Characterization and recognition of emotions from speech using excitation source information.” International Journal of Speech Technology, 16(2), 181–201, 2013.
Rao, K. S., Shashidhar G. Koolagudi ”Recognition of Emotions from Video using acoustic and facial features.” Signal, Image and Video Processing, 9(5), 1029–1045, 2013.
Shashidhar G. Koolagudi, Barthwal, A., Devliyal, S., Rao, K. S. ”Real Life Emotion Classification from Speech using Spectral Features and Gaussian Mixture Models.” Procedia Engineering, ICMOC, 2012.
Shashidhar G. Koolagudi, Devliyal, S., Chawla, B., Barthwal, A., Rao, K. S. ”Recognition of Emotions from speech using excitation source features.” Procedia Engineering, 38, 3409–3417, 2012.
Shashidhar G. Koolagudi, Rao, K. S. ”Emotion recognition from speech using sub-syllabic and pitch synchronous spectral features.” International Journal of Speech Technology, 15(4), 495–511, 2012.
Rao, K. S., Shashidhar G. Koolagudi, Vempada, R. R. ”Emotion recognition from speech using global and local prosodic features.” International Journal of Speech Technology, 15(3), 1–18, 2012.
Krothapalli, S. R., Yadav, J., Sarkar, S.,Shashidhar G. Koolagudi, Vuppala, A. K. ”Neural network based feature transformation for emotion independent speaker identification.” International Journal of Speech Technology, 15(3), 335–349, 2012.
Shashidhar G. Koolagudi, Rao, K. S. ”Emotion recognition from speech using source, system, and prosodic features.” International Journal of Speech Technology, 15(2), 265–289, 2012.
Shashidhar G. Koolagudi, Rao, K. S. ”Emotion recognition from speech: A review.” International Journal of Speech Technology, 15(2), 99–117, 2012.
Rao, K. S., Shashidhar G. Koolagudi ”Recognition of Emotions from Video using Neural Networks Models.” Expert Systems with Applications, 38(10), Sept 2011.
Shashidhar G. Koolagudi, Rao, K. S. ”Two Stage Emotion Recognition Based on Speaking Rate.” International Journal of Speech Technology, 14(1), Mar 2011.
Rao, K. S., Shashidhar G. Koolagudi ”Identification of Hindi Dialects and Emotions using Spectral and Prosodic features of Speech.” Journal of Systemics, Cybernetics and Informatics, 9(4), 2011.
Rao, K. S., Shashidhar G. Koolagudi ”Selection of suitable features for modeling the durations of syllables.” Journal of Software Engineering and Applications, 3, Dec 2010.

Conferences:

Ankush Chandrashekar, Mohammed Rushad, Akshat Nambiar, V. Rashmi & Shashidhar G. Koolagudi, ”fastText-Based Siamese Network for Hindi Semantic Textual Similarity” in Sustainable Computing and Intelligent Systems, 2025, pp 53–64.
Anirudh V Gubbi; Garima Pandey; Shashidhar G. Koolagudi, “Frame-Level Audio Hate Speech Detection for Kannada Language” in International Conference on Artificial Intelligence and Data Engineering (AIDE),2025, pp. 731-736.
Shashank G; Garima Pandey; Shashidhar G. Koolagudi, “Time based Sentiment Analysis of Financial Headlines using Recurrent Neural Network” in International Conference on Artificial Intelligence and Data Engineering (AIDE), 2025, pp. 752-756.
Kedar D S; Garima Pandey; Shashidhar G. Koolagudi, “Non-Invasive Detection of Anemia Using Deep Learning on Conjunctival Images” innternational Conference on Artificial Intelligence and Data Engineering (AIDE), 2025, pp. 718-724.
Srikrishna Ganapati Yaji, Nagaratna B Chittaragi, Shashidhar G. Koolagudi,“Tomato leaf disease classification using transfer learning” in Data Science & Exploration in Artificial Intelligence: Proceedings of the First International Conference On Data Science & Exploration in Artificial intelligence (CODE-AI 2024), Bangalore, India, 3rd-4th July, 2024 (Volume 1), 2025,pp. 201-206.
JL Imbwaga, Shashidhar G. Koolagudi, NB Chittaragi, “Stroke detection using CNN and LIME explainability” in Data Science & Exploration in Artificial Intelligence: Proceedings of the First International Conference On Data Science & Exploration in Artificial Intelligence (CODE-AI 2024), Bangalore, India, 3rd-4th July, 2024 (Volume 1), 2025, pp. 423-428.7.
Shalini Tomar, Shashidhar G. Koolagudi, “Transformation of Emotional Speech to Anger Speech to Reduce Mismatches in Testing and Enrollment Speech for Speaker Recognition System” in 26th International Conference on Speech and Computer (SPECOM), Lecture Notes in Computer Science (LNCS), Springer Nature Switzerland, 2024, volume 15300,pp. 185–200.
Aadarsh ln, Garima Pandey, Shashidhar G. Koolagudi, ” Audio Classification in Carnatic Classical Music” in International Conference on Machine Learning, Image Processing, Network Security, and Data Sciences,2024 [Accepted]
Chaitanya, Garima Pandey, Shashidhar G. Koolagudi, ” Javelin Throw analysis using Computer Vision” in International Conference on Machine Learning, Image Processing, Network Security, and Data Sciences, 2024[Accepted]
Shivanandu, Garima Pandey, Shashidhar G. Koolagudi, ”Hybrid Capsule Network and Squeeze-and-Excitation Model for Handwritten Signature Classification” in International Conference on Electrical, Electronics & Automation, 2024 [Accepted]
TG Keerthan Kumar, Adhith Adhith, Nitin Jayadeep, Shashidhar G.Koolagudi, “Syntactic Simplification of English Sentences Using Parse Trees” in Proceedings of the 2024 Sixteenth International Conference on Contemporary Computing, 2024, pp. 490-496.
TG Keerthan Kumar, Shreyas Udaya, Shashidhar G. Koolagudi, “SanS:Classification of Sanskrit Mantras using Speech Processing” in Proceedings of the 2024 Sixteenth International Conference on Contemporary Computing, 2024, pp. 427-431.
TG Keerthan Kumar, Mukesh Kumar Ogare, Shashidhar G. Koolagudi, “ECG Signal Classification using Continuous Wavelet Transform Scalogram and Convolutional Neural Network” in 2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), 2024.
Mohit Patidar, Garima Pandey, Shashidhar G. Koolagudi, Krishna Kiran S, Vernica Chandra, “Enhancing Paediatric Healthcare: Deep Learning-Based Pneumonia Diagnosis from Children’s Chest X-rays” in Proceedings of the 2024 Sixteenth International Conference on Contemporary Computing, 2024, pp. 128 - 135.
Keerthan Kumar TG, KB Aneesh, Anagha Siddheshwar, Amulya Marali,Anupama Kamath, Shashidhar G. Koolagudi, Sourav Kanti Addya,“Deepvne: Deep reinforcement and graph convolution fusion for virtualnetwork embedding” in 2024 16th International Conference on Communication Systems & Networks (COMSNETS), 2023, pp. 633-636.
16. Shalini Tomar, Shashidhar G. Koolagudi, “Identification of Speaker-Specific Features to Minimize the Mismatch Outcomes for Speaker Recognition using Anger and Happy Emotional Speech” in 6th International Conference on Artificial Intelligence and Speech Technology (AIST), Communications in Computer and Information Science (CCIS), Springer Nature Switzerland, 2024, volume 2389, pp. 1-14.
Shalini Tomar, Shashidhar G. Koolagudi, “NITK-TIEKLS: A Text-Independent Emotional Kannada Language Speech Dataset for Speaker Recognition” in 6th International Conference on Artificial Intelligence and Speech Technology (AIST), Communications in Computer and Information Science (CCIS), Springer Nature Switzerland, 2024, volume 2389, pp.1-16.
Spoorthy Venkatesh, Shashidhar G. Koolagudi, “A transpose-SELDNet for polyphonic sound event localization and detection” in IEEE 8th International Conference for Convergence in Technology (I2CT), 2023, pp.1-6
Surya Prakash Gupta, V. Spoorthy, Shashidhar G. Koolagudi, “Noise Cancellation by Fast Fourier Transform for Wav2Vec2.0 based Speech-to- Text System” in IEEE 8th International Conference for Convergence in Technology (I2CT), 2023, pp. 1-4.
Spoorthy Venkatesh, 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, pp. 554-564.
Kaushal Kishor, Spoorthy Venkatesh, Shashidhar G. Koolagudi, “Audio fingerprinting system to detect and match audio recordings” in International Conference on Pattern Recognition and Machine Intelligence (PREMI), 2023, pp. 683-690.
Sanjana J, Poornanand Purushottam Naik, Mahesh A Padukudru, Shashidhar G. Koolagudi, Jeny Rajan, “Attention based CRNN Models for Identification of Respiratory Diseases from Lung Sounds” in 2023 14th International Conference on Computing Communication and Networking Technology (ICCCNT), 2023, pp. 1-7.
Shalini Tomar, Shashidhar G. Koolagudi, “CNN-MFCC Model for Speaker Recognition using Emotive Speech” in 8th International Conference for Convergence of Technology (I2CT), IEEE, 2023, pp. 1-7.
Shalini Tomar, Pragya Gupta, Shashidhar G. Koolagudi, “NITK-KLESC: Kannada language emotional speech corpus for speaker recognition” in 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA), IEEE, 2023, pp. 1-6.
Shalini Tomar, Shashidhar G. Koolagudi, “Analysis of Speaker Recognition in Blended Emotional Environment Using Deep Learning Approaches” in 10th International Conference on Pattern Recognition and Machine Intelligence, Lecture Notes in Computer Science (LNCS), Springer Nature Switzerland, 2023, volume 14301, pp. 691-698.
Joan L Imbwaga, Nagaratna B Chittaragi, Shashidhar G. Koolagudi, ”Fake news detection using machine learning algorithms”, in Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, (ACM, 2022), pp. 271-275.
Swarnabha Sinha, Spoorthy V, Shashidhar G. Koolagudi, “Code-Switching Automatic Speech Recognition using Modified ESPNet”, in International Conference on Applied Mechanics, Machine Learning and Advanced Com-putation (AMMLAC-2022), 2022, Volume 11.
SuryaPrakash Gupta, V Spoorthy, Shashidhar G. Koolagudi, “Recognition of Fricative Phoneme based Hindi Words in Speech-to-Text System using Wav2Vec2.0 Model” in IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), 2022, Volume 5,pp.-5.
TG Keerthan Kumar, Himanshu Dhakate, Shashidhar G. Koolagudi, “Iimh: Intention identification in multimodal human utterances” in Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2022, pp. 337-344.
poorthy Venkatesh, 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 (SPECOM), 2022, pp. 688-699.
Nagaratna B Chittaragi, Shashidhar G. Koolagudi, “Kannada Dialect Identification from Case-Based Word Utterances Using Gradient Boosting Algorithm” in International Conference on Advanced Network Technologies and Intelligent Computing, 2021, pp. 675-686.
Siva Krishna P Mothukuri, Pradyoth Hegde, Nagaratna B Chittaragi, Shashidhar G. Koolagudi, “Kannada dialect classification using artificial neural networks”, in 2020 International Conference on Artificial Intelligence and Signal Processing (AISP), 2020, pp. 1-6.
Pradyoth Hegde, Nagaratna B Chittaragi, Siva Krishna P Mothukuri, Shashidhar G. Koolagudi, “Kannada dialect classification using cnn” in Mining Intelligence and Knowledge Exploration: 7th International Conference, MIKE 2019, Goa, India, December 19–22, 2019, 2020, pp. 254-259.
P Sandhya, V Spoorthy, Shashidhar G. Koolagudi, NV Sobhana, “Spectral features for emotional speaker recognition”, in Third International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2020, pp. 1-6.
Adarsh Honawad, Sagar Bharadwaj K.S., Samvid Dharanikota, Shashidhar G. Koolagudi, Yarlagadda Vishnu, “A Modified LSB Steganography Algorithm to Store Images of Large Size”, International Career & College Counseling (IC3) Conference, 2022 [Accepted].
Swarnabha Sinha, Spoorthy V, Shashidhar G. Koolagudi, “Code-Switching ASR using Modified ESPNet”, Applied Mechanics, Machine Learning and Advanced Computation (AMMLAC), 2022 [Accepted].
Spoorthy. V, Manjunath Mulimani and Shashidhar G. Koolagudi, ”Acoustic Scene Classification using Deep Learning Architectures,” 2021 6th International Conference for Convergence in Technology (I2CT), pp. 1-6, 2021.
T. Thomas, Spoorthy. V, N. V. Sobhana and Shashidhar G. Koolagudi, ”Speaker Recognition in Emotional Environment using Excitation Fea- tures,” Third International Conference on Advances in Electronics, Computers and Communications (ICAECC), pp. 1-6, 2020.
Biswas, Roshni, YV Srinivasa Murthy, Shashidhar G. Koolagudi, and Swaroop G. Vishnu. ”Objective Assessment of Pitch Accuracy in Equal Tempered Vocal Music Using Signal Processing Approaches.” In *SmartComputing Paradigms: New Progresses and Challenges*, pp. 161-168.Springer, Singapore, 2020.
Yarlagadda, Vishnu, Shashidhar G. Koolagudi, Manoj Kumar, and Swapna Donepudi. ”Driver Drowsiness Detection Using Facial Parameters and RNNs with LSTM.” In *IEEE 17th India Council International Conference (INDICON)*, pp. 1-7. IEEE, 2020.
Chundra Chur Chetterjee, Manjunath Mulimani, Shashidhar G. Koolagudi, “Polyphonic Sound Event Detection using Transposed Convolutional Recurrent Neural Network”, *IEEE ICASSP*, 2020, pp. 661-665.
Manjunath Mulimani, Akash Kademani, Shashidhar G. Koolagudi, “A Deep Neural Network-Driven Features Learning Method for Polyphonic Acoustic Event Detection from Real-life Recordings”, *IEEE ICASSP*,2020, pp. 291-295.
Siva Krishna P Mothukuri, Rahul Sankar, Ashwin Nair, Prince Abhinav and Shashidhar G. Koolagudi, “Image Colorization Using GANs and Perceptual Loss”, *Artificial Intelligence and Signal Processing (AISP)*, 2020.
Pravin Bhaskar Ramteke, Sujata Supanekar and Shashidhar G. Koolagudi, “Identification mispronunciation /s/ and /sh/ using spectral entropy”, *Mining Intelligence and Knowledge Exploration (MIKE)*, 2020.
Pravin Bhaskar Ramteke, Sujata Supanekar and Shashidhar G. Koolagudi, “Identification of Nasalization and Nasal Assimilation using Group delay function on Zero Time Windowing”, *Mining Intelligence and Knowledge Exploration (MIKE)*, 2020.
Reddy, Vineeth VB, Ananda H. Rao, Yeshwanth A., Pravin Bhaskar Ramteke, and Shashidhar G. Koolagudi, ”Estimation of Tyre Pressure from the Characteristics of the Wheel: An Image Processing Approach,” In *Smart Computing Paradigms: New Progresses and Challenges*, Springer, Singapore, 2020, pp. 3-9.
Suma S. M., Shashidhar G. Koolagudi, Pravin B. Ramteke, and Sreenivasa K. Rao, ”Note Transcription from Carnatic Music.” In *Smart Computing Paradigms: New Progresses and Challenges*, Springer, Singapore,2020, pp. 123-129.
Ramteke, Pravin Bhaskar, Srishti Hegde, and Shashidhar G. Koolagudi. ”Characterization of Consonant Sounds Using Features Related to Place of Articulation.” In *Smart Computing Paradigms: New Progresses and Challenges*, Springer, Singapore, 2020, pp. 139-145.
Choudhury A. R., Chittaragi N.B., and Shashidhar G. Koolagudi, “Dialect Recognition System Using Excitation Source Features,” In *Fifteenth IEEE India Council International Conference (INDICON)*, IEEE, 2018.
Manjunath Mulimani, Shashidhar G. Koolagudi, “Locality-constrained Linear Coding based Fused Visual Features for Robust Acoustic Event Classification,” *INTERSPEECH*, 2019, pp. 2558-2562.
Chittaragi N. B., Limaye A., Chandana N. T., Annappa B., and Shashidhar G. Koolagudi, “Automatic text-independent Kannada dialect identification system,” In *Information Systems Design and Intelligent Applications*, Springer, 2019, pp. 79-87.
SivaKrishna P. Mothukuri, Tejas R, Soham Patil, Darshan V, and Shashidhar G. Koolagudi, “Efficient Traffic Signboard Recognition System Using Convolutional Networks”, *Signal Processing and Intelligent Recognition Systems (SIRS’19)*, 2019.
Anshul Pinto, Mohit Bhasi, Durvesh Bhalekar, Pradyoth Hegde, and Shashidhar G. Koolagudi, ”A Deep Learning Method TO Detect Drowsy Drivers In Realtime,” in *INDICON*, 2019.
Pradyoth Hegde, Chittaragi N. B., Mothukuri S. K. P. and Shashidhar G. Koolagudi, ”Kannada Dialect Classification Using CNN,” *Mining Intelligence and Knowledge Exploration (MIKE)*, 2019.
Rakshith, J., Sharath Savasere, Arvind Ramachandran, Akhila P., and Shashidhar G. Koolagudi. ”Word Sense Disambiguation using Bidirectional LSTM.” In *2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)*, IEEE,pp. 1-6.
Narayanan G, Narayanan R, Haneef N, Chittaragi N. B. and Shashidhar G. Koolagudi, ”A Novel Approach to Video Steganography using a 3D Chaotic Map,” *TENCON 2019 - IEEE Region 10 Conference*, Kochi,India, pp. 955-959.
Ramteke, Pravin Bhaskar, Sujata Supanekar, and Shashidhar G. Koolagudi. ”Gender Identification using Spectral Features and Glottal Closure Instants (GCIs),” In *Twelfth International Conference on Contemporary Computing (IC3)*, IEEE, 2019, pp. 1-6.
Chittaragi N.B., Hegde P., Mothukuri S.K.P., Shashidhar G. Koolagudi,“Spectral Feature Based Kannada Dialect Classification from Stop Consonants,” In: *Pattern Recognition and Machine Intelligence (PReMI)*,Lecture Notes in Computer Science, Springer, vol. 11941, 2019.
Chakradhar M., Charan M. S., Sai R. U., Kunal M., Murthy Y. V. S., Shashidhar G. Koolagudi, “Academic Curriculum Load Balancing using GA,” In *10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)*, IEEE, 2019, pp. 1-5.
Ramteke P.B., Supanekar S., Hegde P., Nelson H., Aithal V., Shashidhar G. Koolagudi, “NITK Kids’ Speech Corpus,” *Proc. Interspeech*, 2019, pp. 331-335, http://dx.doi.org/10.21437/Interspeech.2019-2061.
Aditya K. Kamath, Tarun A. Karthik, Leslie Monis, Manjunath Mulimani, Shashidhar G. Koolagudi, “Sobriety Testing Based on Thermal Infrared Images Using Convolutional Neural Networks”, in Region Conference, TENCON 2018, IEEE, pp. 2170–2174.
Manjunath Mulimani, Shashidhar G. Koolagudi, “Acoustic Event Classification using Spectrogram Features”, in Region 10 Conference, TENCON 2018, IEEE, pp. 1460–1464.
Manjunath Mulimani, Shashidhar G. Koolagudi, “Robust Acoustic Event Classification Using Bag-of-Visual-Words”, INTERSPEECH 2018,pp. 3319–3322.
Charitha S., Chittaragi N. B., Shashidhar G. Koolagudi “Extractive Document Summarization Using a Supervised Learning Approach,” In 2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) IEEE, pp. 1–6.
T. M.P, Pranathi A., SaiAshritha K., Chittaragi, N. B., Shashidhar G.Koolagudi “Tomato Leaf Disease Detection Using Convolutional NeuralNetworks,” In 2018 Eleventh International Conference on ContemporaryComputing (IC3) IEEE, pp. 1–5.
Arvind Sai K., Derik Clieve, Vilas M., Pravin Bhaskar Ramteke, Shashidhar G. Koolagudi, “Diabetic Retinopathy Classification using Transfer Learning”, in INDICON 2018. [Presented]
Chittaragi N. B., Mothukuri S. K. P., Hegde P., Shashidhar G. Koolagudi,“Robust Dialect Identification System using Spectro-Temporal Gabor Features,” In TENCON Region 10 Conference IEEE, 2018, pp. 1589–1594.
Mohan A., Dhir R., Hirashkar H., Chittaragi N. B., Shashidhar G.Koolagudi “Matching Witness’ Account with Mugshots for Forensic Applications,” In 2018 Eleventh International Conference on Contemporary Computing (IC3) IEEE, pp. 1–5.
Chittaragi, N. B. and Shashidhar G. Koolagudi. “Sentence based Dialect Identification System using Extreme Gradient Boosting Algorithm,”In 6th International Conference on Advanced Computing, Networking,and Informatics (in-press), Springer, June 2018.
Murthy Y. V., Jeshventh T. K. R., Zoeb M., Saumyadip M., Shashidhar G. Koolagudi “Singer Identification from Smaller Snippets of Audio Clips Using Acoustic Features and DNNs,” In 2018 Eleventh International Conference on Contemporary Computing (IC3) IEEE, pp. 1–6.

Patents

Granted :

Dr. Shashidhar G Koolagudi- Pavan Kumar K Y, Naveen K S, “Use of Diacritical Marks for Speech Synthesis”, Application number: 201641005231, Filing date: 15-Feb-2016 Date of Grant: 30-Aug-2022

Applied :

Dr. Shashidhar G Koolagudi, Mukund A, Rohit C and Pravin Ramteke- “Method and Device for determining Turbidity Levels in Water”, Application number: 201641025734, Filing date: 27-July-2016
Dr. Shashidhar G Koolagudi, Prof. M B Saidutta (Dean, AAIR)- “Degraded Speech Recognition using Signal” Envelope Invoice number: 201641007122, Filing date: 1-March-2016
Dr. Shashidhar G Koolagudi- Fraud Detection through keystroke dynamics based on time location characteristics and keyboard pressure parameters- : Filed (Ref.no: C.000855)
Dr. Shashidhar G Koolagudi- Numerical Relation Extraction and Plotting with TEXT2GRAPH- Filed (Ref.no: C.000845)

Achievements

Dr. Shashidhar G Koolagudi, identified as global Researchers among Top 2% global scientists in 2022 – A study by Elsevier BV - Stanford University
Best Paper Award in ADCONS '13
Stood second to the university during ME
Obtained MHRD, India fellowship during PhD

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