Chaitali Chakrabarti
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (29) 🧬 Topic Evolution
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Artificial Intelligence
(4)
Speech & Audio
(4)
Application Areas
(4)
Learning Types · Deep Learning
(4)
Core AI
(3)
Analysis
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Healthcare & Medicine
(1)
Security & Privacy
(1)
Keywords
gradient projection
(2)
dysarthria detection
(2)
split federated learning
(2)
model compression
(2)
automatic speech recognition
(2)
multi-task learning
(2)
model robustness
(1)
domain adaptation
(1)
federated learning
(1)
deep learning
(1)
speech enhancement
(1)
keyword spotting
(1)
speaker embedding
(1)
speaker recognition
(1)
long short-term memory
(1)
adversarial training
(1)
adversarial attack
(1)
structured sparsity
(1)
fault tolerance
(1)
feature sharing
(1)
Papers
Mitigating Overfitting During Speech Foundation Model Fine-tuning: Applications to Dysarthric Speech Detection
Interspeech 2025
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning
AAAI 2024
Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection
Interspeech 2024
Aligning Speech Enhancement for Improving Downstream Classification Performance
Interspeech 2023
MocoSFL: enabling cross-client collaborative self-supervised learning
ICLR 2023
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
CVPR 2022
Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity
Interspeech 2020
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
CVPR 2020
Residual + Capsule Networks (ResCap) for Simultaneous Single-Channel Overlapped Keyword Recognition
Interspeech 2019