Acoustic and Articulatory Feature Based Speech Rate Estimation Using a Convolutional Dense Neural Network. - Renuka Mannem; Jhansi Mallela; Aravind Illa; Prasanta Kumar Ghosh (INTERSPEECH, 2019)

Voice based classification of patients with Amyotrophic Lateral Sclerosis, Parkinson's Disease and Healthy Controls with CNN-LSTM using transfer learning. - Jhansi Mallela; Aravind Illa; Suhas B. N.; Sathvik Udupa; Yamini Belur; Atchayaram Nalini; Ravi Yadav; Pradeep Reddy; Dipanjan Gope; Prasanta Kumar Ghosh (ICASSP, 2020)

Raw Speech Waveform Based Classification of Patients with ALS, Parkinson's Disease and Healthy Controls Using CNN-BLSTM. - Jhansi Mallela; Aravind Illa; Yamini Belur; Atchayaram Nalini; Ravi Yadav; Pradeep Reddy; Dipanjan Gope; Prasanta Kumar Ghosh (INTERSPEECH, 2020)

Speech task based automatic classification of ALS and Parkinson's Disease and their severity using log Mel spectrograms. - Suhas B. N.; Jhansi Mallela; Aravind Illa; B. K. Yamini 001; Atchayaram Nalini; Ravi Yadav; Dipanjan Gope; Prasanta Kumar Ghosh (SPCOM, 2020)

Effect of Noise and Model Complexity on Detection of Amyotrophic Lateral Sclerosis and Parkinson's Disease Using Pitch and MFCC. - Tanuka Bhattacharjee; Jhansi Mallela; Yamini Belur; Nalini Atchayarcmf; Ravi Yadav; Pradeep Reddy; Dipanjan Gope; Prasanta Kumar Ghosh (ICASSP, 2021)

Source and Vocal Tract Cues for Speech-Based Classification of Patients with Parkinson's Disease and Healthy Subjects. - Tanuka Bhattacharjee; Jhansi Mallela; Yamini Belur; Atchayaram Nalini; Ravi Yadav; Pradeep Reddy; Dipanjan Gope; Prasanta Kumar Ghosh (Interspeech, 2021)

A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection. - Jhansi Mallela; Prasanth Sai Boyina; Chiranjeevi Yarra (SPECOM (2), 2023)

Post-Net: A linguistically inspired sequence-dependent transformed neural architecture for automatic syllable stress detection. - Sai Harshitha Aluru; Jhansi Mallela; Chiranjeevi Yarra (INTERSPEECH, 2024)

A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection. - Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (INTERSPEECH, 2024)

Exploring the Use of Self-Supervised Representations for Automatic Syllable Stress Detection. - Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (NCC, 2024)

Post-Net2.0: An adaptive weighted loss function driven by linguistic constraint for automatic syllable stress detection. - Sai Harshitha Aluru; Jhansi Mallela; Chiranjeevi Yarra (ICASSP, 2025)

Evaluating the Impact of Discriminative and Generative E2E Speech Enhancement Models on Syllable Stress Preservation. - Rangavajjala Sankara Bharadwaj; Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (ICASSP, 2025)

A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech with Text-to-Speech Prosody Embeddings. - Anindita Mondal; Rangavajjala Sankara Bharadwaj; Jhansi Mallela; Anil Kumar Vuppala; Chiranjeevi Yarra (NCC, 2025)