Pailla Balakrishna Reddy

Orcid: 0000-0003-2662-253X

According to our database1, Pailla Balakrishna Reddy authored at least 18 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Investigating Polyglot Speech Foundation Models for Learning Collective Emotion from Crowds.
CoRR, September, 2025

Investigating the Reasonable Effectiveness of Speaker Pre-Trained Models and their Synergistic Power for SingMOS Prediction.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

Towards Source Attribution of Singing Voice Deepfake with Multimodal Foundation Models.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

SNIFR : Boosting Fine-Grained Child Harmful Content Detection Through Audio-Visual Alignment with Cascaded Cross-Transformer.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations.
Proceedings of the 33rd European Signal Processing Conference, 2025

Investigating Polyglot Speech Foundation Models for Learning Collective Emotion from Crowds.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

Rethinking Cross-Corpus Speech Emotion Recognition Benchmarking: are Paralinguistic Pre-Trained Representations Sufficient?
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

Are Multimodal Foundation Models All That Is Needed for Emofake Detection?
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2024
MUSTAN: Multi-scale Temporal Context as Attention for Robust Video Foreground Segmentation.
CoRR, 2024

2023
AQUALLM: Audio Question Answering Data Generation Using Large Language Models.
CoRR, 2023

Weakly Supervised Confidence Aware Probabilistic CAM multi-Thorax Anomaly Localization Network.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Towards Multi-Lingual Audio Question Answering.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray.
Comput. Biol. Medicine, 2022

Detection and Classification of Lung Disease Using Deep Learning Architecture from X-ray Images.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

2016
Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Text and Citations Based Cluster Analysis of Legal Judgments.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015


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