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Martin Strauss — most-cited papers & profile · Speech Audio
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Martin Strauss
5
papers ·
0
citations
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Most-cited papers
A Flow-Based Neural Network for Time Domain Speech Enhancement
2021
A Hands-on Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation
2021
Improved Normalizing Flow-Based Speech Enhancement using an All-pole Gammatone Filterbank for Conditional Input Representation
2022
SEFGAN: Harvesting the Power of Normalizing Flows and GANs for Efficient High-Quality Speech Enhancement
2023
Top co-authors
Bernd Edler
· 2
Bernd Edler
· 2
Matteo Torcoli
· 2
Jouni Paulus
· 1
Nagashree K. S. Rao
· 1
Nicola Pia
· 1
Topics
Speech Enhancement
Speech Recognition
Music Generation
Audio Understanding
Audio Generation