drbhagath.in - Research

My primary research focus is on modelling speech using geometrical features derived from the trajectories of speech signals. Typically, feature extraction treats speech data as a temporal or spectral signal. In contrast, my work aims to understand speech signals as structural components, moving beyond traditional numerical approaches. In addition to this, I am also working in the following domains:

Speech Processing
Graph signal processing
Fractal methods in speech signal analysis
Geometrical features for speech signal understanding

2026

Accepted

P. Bhagath, K. V. L. Prasanna, B. Sravya, and T. N. K. Mouli, “Multi-lingual Spoken Language Modeling via CNNs for Low-Resource Languages," IAENG International Journal of Computer Science, vol. 53, no. 1, pp. 1–13, 2026. [PAPER]
P. Bhagath, Muthyala Sai Keerthi, and Ch Anusha, “Harnessing Convolutional Neural Networks to Classify Gender and Age Groups in Spoken Telugu” IAENG International Journal of Computer Science (Accepted).
P. Bhagath, G. Vyshnavi, M. Madhusudhan, and A. Srikar, “Domain-guided Clustering Framework for Researcher’s Profiling,” Proc. 6th Int. Conf. Computer Vision and Robotics (CVR), 2026 (Accepted).
P. Bhagath, B. Deepak Raj, and S. M., “A Gaussian HMM Framework for Speaker-Dependent Telugu Sentence Modeling in Low-Resource Scenarios,” IAENG International Journal of Computer Science (Accepted with Major Revision).
P. Bhagath, B. Deepak Raj, “Comparative Study of HMM and CNN Models for Spoken Telugu Command Recognition,” MECS International Journal of Image, Graphics and Signal Processing (IJIGSP) (Accepted with Major Revision).
P. Bhagath, and G. Vyshnavi, “Hybrid Feature Analysis of Scientometric Data for Researcher’s Profiling,” IAENG Engineering Letters (Accepted with revision).

Under Review

P. Bhagath, Gowrisetti Gayatri, “Low-resource speech recognition using Wav2Vec embedding and BiLSTMs,” IAENG International Journal of Computer Science.
P. Bhagath, D. Harsha Vardhan, S. Bhargav, and N. Vinod, “Smart Attendance via Continuous Face Recognition Using CNNs,” IAENG Engineering Letters.
P. Bhagath, Banda Karthik, “Motor Vehicle Identification using Acoustic Signatures and Convolutional Neural Networks” IAENG International Journal of Computer Science.
P. Bhagath, and G. Vyshnavi, “Research Community Detection using Topic Modeling and Affinity Propagation,” IOP Engineering Research Express.
P. Bhagath, A. Charitha, K. Y. S. Madhukar, and P. Durga, “A Multi-modal Communication Feedback Advisor System Using Transfer Learning,” International Journal of Modern Education and Computer Science .

Under Preparation

P. Bhagath, "Adaptive Graph Learning for Minute-Level Rainfall Prediction", IAENG Engineering Letters. (Under Preparation).
P. Bhagath, Prasanta Roy, “Temporal Modeling of Anuran Calls Using MFCC Features and Recurrent Neural Networks: A Comparative Study,” Engineering Research Express. (Under Preparation).
P. Bhagath, D. Pamu, and G. Vyshnavi, “Material Structure Analysis using Message Passing Neural Networks,” Journal of Intelligent Material Systems and Structures (Under Preparation).

2025

Parabattina Bhagath, Malempati Shanmukha, P. Gnana Nagasri, "Analysing Temporal Properties of Speech Trajectory using Graph Structures towards Speech Recognition," TELKOMNIKA Telecommunication, Computing, Electronics and Control, 2025. PDF
O. C. Phukan, Mohd Mujtaba Akhtar, Girish, Swarup Ranjan Behera, Parabattina Bhagath, Pailla Balakrishna Reddy, "Rethinking Cross-Corpus Speech Emotion Recognition Benchmarking: Are Paralinguistic Pre-Trained Representations Sufficient?," APSIPA ASC, Singapore, pp. 1022–1027, 2025. PDF
Orchid Chetia Phukan, Mohd Mujtaba Akhtar, Girish, Panchal Nayak, Priyabrata Mallick, Swarup Ranjan Behera, Parabattina Bhagath, Pailla Balakrishna Reddy, Arun Balaji Buduru, "Investigating Polyglot Speech Foundation Models for Learning Collective Emotion from Crowds," APSIPA ASC, Singapore, pp. 1016–1021, 2025. PDF
Parabattina Bhagath, Matti Indu Lakshmi Prasanna, M. Shanmukha, P. G. Nagasri, Mocherla Swetha, and Pradip K. Das, "Multi-Model Telugu Speech Signal Analysis Towards Controlling Home Appliances," IAENG International Journal of Computer Science, vol. 52, no. 7, pp. 2368–2380, 2025. PDF
Parabattina Bhagath, Shanmukha M., and Pradip K. Das, "Hindi Spoken Digit Analysis for Native and Non-Native Speakers," IAES International Journal of Artificial Intelligence (IJ-AI), vol. 14, no. 2, pp. 1561–1567. PDF

2019-2024

S. R. Seelam, C. S. Thivari, B. Parabattina, N. K. G and S. K, "Neural Harvest : Advancements in Crop Yield Forecasting," 2024 International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal, 2024, pp. 914-918, doi: 10.1109/ICICT60155.2024.10544942.
P. Bhagath, S. R. Chindam, M. Shanmukha and P. K. Das, "Speech Signal Analysis Using Fractal Geometry for Phoneme Boundary Detection," TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON), Singapore, Singapore, 2024, pp. 394-399, doi: 10.1109/TENCON61640.2024.10902725.
P. Bhagath, V. Lasya, P. Dhyeya and P. K. Das, "Telugu Vakyalu: Spoken Telugu Sentences for IoT Applications," 2023 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA), Delhi, India, 2023, pp. 1-5, doi: 10.1109/O-COCOSDA60357.2023.10482996. [PAPER]
P. Bhagath, A. U. M. Rao, B. S. Ram and M. A. K. Reddy, "Telugu Spoken Digits Modeling using Convolutional Neural Networks," 2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS), Guayaquil, Ecuador, 2023, pp. 1-7, doi: 10.1109/ICPRS58416.2023.10178989. [PAPER]
P. Bhagath, M. Pullagura and P. K. Das, "Comparative Analysis of Spoken Telugu digits using MFCC and LPCC via Hidden Markov Models," 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2023, pp. 615-620, doi: 10.1109/SPIN57001.2023.10116567. [PAPER]
P. Bhagath, M. Pullagura, P. K. Das, V. K. Yandra and S. S. Thetla, "TELUGU ANKELU: A Telugu Spoken Digits Corpora for Mobile Speech Recognition," 2022 12th International Conference on Pattern Recognition Systems (ICPRS), Saint-Etienne, France, 2022, pp. 1-6, doi: 10.1109/ICPRS54038.2022.9854065. [PAPER]
P. Bhagath and P. K. Das, "Quadrilaterals based phoneme segmentation technique for low resource spoken languages," TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), Hong Kong, Hong Kong, 2022, pp. 1-6, doi: 10.1109/TENCON55691.2022.9977455. [PAPER]
D. Nankani, B. Parabattina, R. D. Baruah and P. K. Das, "R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators," TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), Auckland, New Zealand, 2021, pp. 225-230, doi: 10.1109/TENCON54134.2021.9707247. [PAPER]
P. Bhagath and P. K. Das, "Graph Eigenvalue based Structural Method towards Phonetic Boundary Detection," TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), Auckland, New Zealand, 2021, pp. 591-596, doi: 10.1109/TENCON54134.2021.9707281. [PAPER]
P. Bhagath, K. Bharti, A. Kotiya and P. K. Das, "Feature Selection using Pre-clustering via Affinity Propagation for Speech Classification in Low-resource Languages," 2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia, 2021, pp. 1-6, doi: 10.1109/IICAIET51634.2021.9573696. [PAPER]
P. Bhagath, S. Parisa, S. D. Reddy and F. Banu, "An Android based Mobile Spoken Dialog System for Telugu language to control Smart appliances," 2021 IEEE XXVIII International Conference on Electronics, Electrical Engineering and Computing (INTERCON), Lima, Peru, 2021, pp. 1-4, doi: 10.1109/INTERCON52678.2021.9532783. [PAPER]
P. Bhagath, S. Parihar and P. K. Das, "Speech Recognition for Indian spoken languages towards Automated Home appliances," 2021 2nd International Conference for Emerging Technology (INCET), Belagavi, India, 2021, pp. 1-5, doi: 10.1109/INCET51464.2021.9456267. [PAPER]
B. Parabattina, P. Chandra, V. Sharma and P. K. Das, "Voice-controlled Assistance for Robot Navigation Using Android-based Mobile Devices," 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, 2021, pp. 21-25, doi: 10.1109/WiSPNET51692.2021.9419461. [PAPER]
A. Ramteke, B. Parabattina and P. K. Das, "A Neural Network Based Technique for Staircase Detection using Smart Phone Images," 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, 2021, pp. 374-379, doi: 10.1109/WiSPNET51692.2021.9419425. [PAPER]
P. Bhagath, PK Das, "Phoneme Boundary Analysis using Multiway Geometric Properties of Waveform trajectories towards Low Resource Languages", 1st Joint SLTU and CCURL Workshop, Marseille, FRANCE, 2020, SLTU-CCURL 2020, pages 144-152. [PAPER]
P Roy , P. Bhagath, PK Das, "Gender Detection from Human Voice Using Tensor Analysis", 1st Joint SLTU and CCURL Workshop, Marseille, FRANCE, 2020, SLTU-CCURL 2020, pages 211–217. [PAPER]
P. Bhagath, M Jain and PK Das, "Dynamic Speech Trajectory based Parameters for Low Resource Languages", MIND-2020 - 2nd International conference on Machine learning, Image processing, Network Security and Data Mining, NIT Silchar, India, 2020. [PAPER]
S Jain , P. Bhagath , PK Das, "Language identification using Tensors", MIND-2020 - 2nd International conference on Machine learning, Image processing, Network security and Data Mining, NIT Silchar, India,2020. [PAPER]
P. Bhagath , P K Das, "Characterization of Spoken English Vowels Using Tree Structures", 31 st International IEEE Region10 Conference (TENCON), Kochi, India, 2019, pp. 1758-1763. Link to the Paper (URL) [PAPER]
P. Bhagath , P K Das, "Phoneme Boundary Analysis Using Graphs", 31 st International IEEE Region 10 Conference (TEN-CON), Kochi, India, 2019, pp. 1758-1763. Link to the Paper (URL) [PAPER]

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