Jhansi Mallela
According to our database1,
Jhansi Mallela
authored at least 13 papers
between 2019 and 2025.
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Bibliography
2025
A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech with Text-to-Speech Prosody Embeddings.
Proceedings of the National Conference on Communications, 2025
Evaluating the Impact of Discriminative and Generative E2E Speech Enhancement Models on Syllable Stress Preservation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Post-Net2.0: An adaptive weighted loss function driven by linguistic constraint for automatic syllable stress detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Exploring the Use of Self-Supervised Representations for Automatic Syllable Stress Detection.
Proceedings of the National Conference on Communications, 2024
A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024
Post-Net: A linguistically inspired sequence-dependent transformed neural architecture for automatic syllable stress detection.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024
2023
A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection.
Proceedings of the Speech and Computer - 25th International Conference, 2023
2021
Source and Vocal Tract Cues for Speech-Based Classification of Patients with Parkinson's Disease and Healthy Subjects.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Effect of Noise and Model Complexity on Detection of Amyotrophic Lateral Sclerosis and Parkinson's Disease Using Pitch and MFCC.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Speech task based automatic classification of ALS and Parkinson's Disease and their severity using log Mel spectrograms.
Proceedings of the International Conference on Signal Processing and Communications, 2020
Raw Speech Waveform Based Classification of Patients with ALS, Parkinson's Disease and Healthy Controls Using CNN-BLSTM.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Voice based classification of patients with Amyotrophic Lateral Sclerosis, Parkinson's Disease and Healthy Controls with CNN-LSTM using transfer learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Acoustic and Articulatory Feature Based Speech Rate Estimation Using a Convolutional Dense Neural Network.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019