drbhagath.in - Research

Research Interests

My primary research focus is the geometrical modelling of speech signals, with particular emphasis on extracting and analysing geometric features from speech-signal trajectories. Unlike conventional approaches that represent speech primarily as a temporal or spectral signal, I conceptualise speech as a structured geometric entity. This perspective aims to uncover intrinsic patterns and structural characteristics that can enhance speech representation, modelling, and understanding.

My broader research interests encompass the following areas:

Speech Processing: Acoustic modelling, speech representation, and recognition, with a particular focus on low-resource languages.
Graph Signal Processing: Graph-based representations and learning methods for the analysis of structured and relational data.
Fractal Methods in Speech Signal Analysis: Investigation of fractal dimensions and scale-dependent properties to characterise the complexity of speech signals.
Geometrical Feature Extraction and Speech Understanding: Development of geometric descriptors from speech trajectories to capture structural patterns that extend beyond conventional temporal and spectral features.

2027

Accepted/Forthcoming

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, Prasanta Roy, “Anuran Species Classification using MFCC features: A comparative study of machine learning and deep learning,” Engineering Letters (Accepted with revision).
P. Bhagath, Banda Karthik, and Prasanta Roy, “Motor Vehicle Identification from Acoustic Signals Using CNN–LSTM and Data Augmentation”, IAENG Engineering Letters (Accepted with revision).

Under Preparation

Parabattina Bhagath, G Vyshnavi, D Pamu, "A Message Passing Neural Network Framework for Predicting Material Formation Energy", Engineering Letters.
P. Bhagath, Nafees Ahmed, Dupakuntla Satvik, “Speech Signal Analysis using geometrical properties”, MECS I. J. Image, Graphics and Signal Processing.
P. Bhagath, Bhargavi, Sravani, “Weather Forecasting using Diffusion Graph Convolution Recurrent Neural Networks ", IAENG Engineering Letters.

2026

Published

P. Bhagath, K. V. L. Prasanna, B. Sravya, and T. N. K. Mouli, “Multilingual Spoken Language Modelling via CNNs for Low-Resource Languages," IAENG International Journal of Computer Science, vol. 53, no. 1, pp. 1–13, 2026. [PDF]
Parabattina 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, vol. 53, no. 7, pp. 2802-2810, 2026. [PDF]
Parabattina Bhagath, Basina Deepak Raj, and Malempati Shanmukha, "A Gaussian HMM Framework for Speaker-Dependent Telugu Sentence Modeling in Low-Resource Scenarios," IAENG International Journal of Computer Science, vol. 53, no. 9, pp 3579-3588, 2026. [PDF]
P. Bhagath, B. Deepak Raj, Malempati Shanmukha, “Comparative Study of HMM and CNN Models for Spoken Telugu Command Recognition,” MECS International Journal of Image, Graphics and Signal Processing (IJIGSP) (To be published in December)

Accepted/Forthcoming

P. Bhagath and G. Vyshnavi, “Hybrid Feature Analysis of Scientometric Data for Researcher’s Profiling,” IAENG Engineering Letters (Accepted with revision).
P. Bhagath and Gowrisetti Gayatri, “Low-resource speech recognition using Wav2Vec embedding and BiLSTMs,” IAENG International Journal of Computer Science. (Accepted with revision).
P. Bhagath, G. Vyshnavi, and Prasanta Roy, “Research Community Detection using Topic Modeling and Affinity Propagation,” Engineering Letters (Accepted with revision).
P. Bhagath and Prasanta Roy, "Adaptive Graph Learning for Minute-Level Rainfall Prediction using Spatial-Temporal Meteorological Data", IAENG Engineering Letters (Accepted with revision).
P. Bhagath, A. Charitha, K. Y. S. Madhukar, and P. Durga, “A Multi-modal Communication Feedback Advisor System Using Transfer Learning,” International Journal of Wireless and Microwave Technologies (IJWMT) (Accepted with revision).

Under Review

P. Bhagath, D. Harsha Vardhan, and S. Bhargav, “Smart Attendance via Continuous Face Recognition Using CNNs,” International Conference on Modern Sustainable Systems. Malaysia (Communicated)

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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