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Anastasia Kuznetsova

2 accepted papers

2023

The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement

ICASSP 2023accepted

With the advances in deep learning, speech enhancement systems benefited from large neural network architectures and achieved state-of-the-art quality. However, speaker-agnostic methods are not always desirable, both in terms of quality and their complexity, when they are to be used in a resource-co…

Cited by 7SourceScholar
2022

Curriculum Optimization for Low-Resource Speech Recognition

ICASSP 2022accepted

Modern end-to-end speech recognition models show astonishing results in transcribing audio signals into written text. However, conventional data feeding pipelines may be sub-optimal for low-resource speech recognition, which still remains a challenging task. We propose an automated curriculum learni…

Cited by 4SourceScholar
Anastasia Kuznetsova — accepted AI-conference papers · AIConfPaper