output
20162026
most citedMulti-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals

328 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2021Show all

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eess.AS2021★ 73 cited

Objective Measures of Perceptual Audio Quality Reviewed: An Evaluation of Their Application Domain Dependence

Matteo Torcoli, Thorsten Kastner, Jürgen Herre

Over the past few decades, computational methods have been developed to estimate perceptual audio quality. These methods, also referred to as objective quality measures, are usuall…

eess.AS2021★ 10 cited

Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate

Matteo Torcoli, Jouni Paulus, Thorsten Kastner +1

Remixing separated audio sources trades off interferer attenuation against the amount of audible deteriorations. This paper proposes a non-intrusive audio quality estimation method…

eess.AS2021★ 29 cited

A Flow-Based Neural Network for Time Domain Speech Enhancement

Martin Strauss, Bernd Edler

Speech enhancement involves the distinction of a target speech signal from an intrusive background. Although generative approaches using Variational Autoencoders or Generative Adve…