Sourav Bhattacharya
14 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Deep Learning
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Machine Learning
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Application Areas
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Speech & Audio
(6)
Architectures
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Optimization & Theory
(4)
Recognition
(4)
Artificial Intelligence
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Computer Vision
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model compression
(6)
automatic speech recognition
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word error rate
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self-supervised learning
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image generation
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linear complexity
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diffusion model
(2)
speech recognition
(2)
model quantization
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text-to-image generation
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neural architecture search
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model architecture
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text-to-image synthesis
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linear prediction
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speech processing
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speech enhancement
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efficient computing
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speech synthesis
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neural network optimization
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Papers
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models
AAAI 2026
EDiT: Efficient Diffusion Transformers with Linear Compressed Attention
ICCV 2025
Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes
Interspeech 2025
Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities
ICML 2025
Linear-Complexity Self-Supervised Learning for Speech Processing
Interspeech 2024
MobileQuant: Mobile-friendly Quantization for On-device Language Models
EMNLP 2024
SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding
Interspeech 2024
On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning
Interspeech 2023
Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations
Interspeech 2023
Conditioning Sequence-to-sequence Networks with Learned Activations
ICLR 2022
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
ICLR 2021
Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems
Interspeech 2020
Iterative Compression of End-to-End ASR Model Using AutoML
Interspeech 2020
Deterministic Binary Filters for Convolutional Neural Networks
IJCAI 2018