Anastasios Drosou — accepted AI-conference papers

2025

Retrieval Augmented Generation based context discovery for ASR

Siskos Dimitrios, Stavros Papadopoulos, Pablo Peso Parada, Jisi Zhang, Karthikeyan Saravanan, Anastasios Drosou

EMNLP 2025

This work investigates retrieval augmented generation as an efficient strategy for automatic context discovery in context-aware Automatic Speech Recognition (ASR) system, in order to improve transcription accuracy in the presence of rare or out-of-vocabulary terms. However, identifying the right con

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2025

persoDA: Personalized Data Augmentation for Personalized ASR

Pablo Peso Parada, Spyros Fontalis, Md Asif Jalal, Karthikeyan Saravanan, Anastasios Drosou, Mete Ozay +3

ICASSP 2025accepted

Data augmentation (DA) is ubiquitously used in training of Automatic Speech Recognition (ASR) models. DA offers increased data variability, robustness and generalization against different acoustic distortions. Recently, personalization of ASR models on mobile devices has been shown to improve Word E…

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2023

LP-IOANet: Efficient High Resolution Document Shadow Removal

Konstantinos Georgiadis, Mehmet Kerim Yucel, Evangelos Skartados, Valia Dimaridou, Anastasios Drosou, Albert Saà-Garriga +1

ICASSP 2023accepted

Document shadow removal is an integral task in document enhancement pipelines, as it improves visibility, readability and thus the overall quality. Assuming that the majority of practical document shadow removal scenarios require real-time, accurate models that can produce high-resolution outputs in…

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