I am working in speech modeling through geometrical features of speech trajectory. Usually, features have been extracted from the data by treating it as a temporal or spectral signal. We are trying to understand a speech signal as a structural component rather than following these traditional ways of looking at the data as numbers. Apart from these problems, I am also working on the following domains:
Speech Processing
Graph signal processing
Fractal methods in speech signal analysis
Geometrical features for speech signal understanding
PUBLICATIONS
2025
Parabattina Bhagath, Shanmukha M, Pradip K Das, "Hindi spoken digit analysis for native and non-native speakers", IAES International Journal of Artificial Intelligence (IJ-AI), 14 (2), 1561-1567 [PAPER]
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, pp2368-2380, 2025. [PAPER]
P. Bhagath, Shanmukha M, "Telugu Sentence Characterization Using Gaussian Hidden Markov Models Towards IoT Applications", IAES International Journal of Artificial Intelligence (IJ-AI) (Under Review)
Parabattina Bhagath, Malempati Shanmukha, P Gnana Nagasri, "Analyzing Temporal Properties of Speech Trajectory using Graph Structures towards Speech Recognition", TELKOMNIKA Telecommunication, Computing, Electronics and Control (Under Revision)
Parabattina Bhagath, Kanala Venkata Lakshmi Prasanna, Bonthu Sravya and T Naga Kiran Mouli, "Multi-lingual Spoken Language Modeling via CNNs for Low-Resource Languages", IAENG IJCS (Under Revision)
2023
Parabattina Bhagath, Vanga Lasya, P Dhyeya, "TELUGU VAKYALU: Telugu Sentence Dataset For IoT Applications", 13th International Conference on Pattern Recognition Systems (O-COCOSDA 2023) [PAPER]
Parabattina Bhagath, A UmaMaheshwaraRao, B Sai Ram, M Anil Kumar Reddy, "Telugu Spoken Digits Modeling using Convolutional Neural Networks", 13th International Conference on Pattern Recognition Systems (ICPRS 2023) [PAPER]
P. Bhagath, Meghana Pullagura, Pradip K Das, "Comparative Analysis of Spoken Telugu digits using MFCC and LPCC via Hidden Markov Models", International Conference on Signal Processing and Integrated Networks (SPIN 2023) [PAPER]
2022
P. Bhagath, Meghana Pullagura, Pradip K Das, Vikram Kumar Yandra, Santhi Sri Thetla "TELUGU ANKELU: A Telugu Spoken Digits Corpora for Mobile Speech Recognition", 12th 2022 International Conference on Pattern Recognition Systems (ICPRS 2022) [PAPER]
P. Bhagath, Pradip K Das, "Quadrilaterals based Phoneme Segmentation Technique for Low Resource Language ", TENCON 2022 [PAPER]
2021
Deepankar Nankani, Bhagath Parabattina, Rashmi Dutta Baruah, Pradip K. Das, "R-Peak Detection from ECG Signals Using FractalBased Mathematical Morphological Operators", 33rd International IEEE Region10 Conference (TENCON) (TENCON 2021), Auckland, Newzealand. [PAPER]
P. Bhagath, Pradip K. Das, "Graph Eigenvalue based Structural Method towards Phonetic Boundary Detection", 33rd International IEEE R10 Conference (TENCON 2021), Auckland, New Zealand. [PAPER]
P. Bhagath , Komal Bharti, Abhishek Kotiya, P K Das, "Feature Selection using Pre-Clustering via Affinity Propagation for Speech Classification in low-resource languages", 3rd IEEE International Conference On Artificial intelligence in Engineering and Technology (IICAIET2021), Kota Kinabalu, Malaysia. [PAPER]
P. Bhagath , Samanvi P, Sasi D R and Fareeda B, "An Android based Mobile Spoken Dialog System for Telugu language to control Smart appliances", IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, Peru, South America. [PAPER]
P Bhagath, Savinay Parihar, Pradip K Das, "Speech Recognition for Indian spoken languages towards Automated Home appliances", IEEE INCET 2021, India. [PAPER]
P Bhagath, Phool Chandra, Vanshali Sharma, Pradip K Das, "Voice-controlled Assistance for Robot navigation using Android-based Mobile Devices", IEEE WiSPNET 2021, Chennai. [PAPER]
Anurag Ramteke, P Bhagath, Pradip K Das, "A Neural Network based Technique for Staircase Detection using Smart Phone Images", IEEE WiSPNET 2021, Chennai. [PAPER]
Upto 2020
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]