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Pavel Andreev

2 accepted papers

2024

FINALLY: fast and universal speech enhancement with studio-like quality

NeurIPS 2024poster

In this paper, we address the challenge of speech enhancement in real-world recordings, which often contain various forms of distortion, such as background noise, reverberation, and microphone artifacts. We revisit the use of Generative Adversarial Networks (GANs) for speech enhancement and theoreti…

2023

HIFI++: A Unified Framework for Bandwidth Extension and Speech Enhancement

ICASSP 2023accepted

Generative adversarial networks have recently demonstrated outstanding performance in neural vocoding outperforming best autoregressive and flow-based models. In this paper, we show that this success can be extended to other tasks of conditional audio generation. In particular, building upon HiFi vo…

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