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20192024
most citedAudio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition

44 citations · 81 across the 7 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

eess.AS2023★ 6 cited

SEFGAN: Harvesting the Power of Normalizing Flows and GANs for Efficient High-Quality Speech Enhancement

Martin Strauss, Nicola Pia, Nagashree K. S. Rao +1

This paper proposes SEFGAN, a Deep Neural Network (DNN) combining maximum likelihood training and Generative Adversarial Networks (GANs) for efficient speech enhancement (SE). For…

eess.AS2023

Predicting Preferred Dialogue-to-Background Loudness Difference in Dialogue-Separated Audio

Luca Resti, Martin Strauss, Matteo Torcoli +2

Dialogue Enhancement (DE) enables the rebalancing of dialogue and background sounds to fit personal preferences and needs in the context of broadcast audio. When individual audio s…