Search Results for author: Philipp Götz

Found 3 papers, 1 papers with code

Contrastive Representation Learning for Acoustic Parameter Estimation

no code implementations22 Feb 2023 Philipp Götz, Cagdas Tuna, Andreas Walther, Emanuël A. P. Habets

A study is presented in which a contrastive learning approach is used to extract low-dimensional representations of the acoustic environment from single-channel, reverberant speech signals.

Contrastive Learning Data Augmentation +2

AID: Open-source Anechoic Interferer Dataset

1 code implementation5 Aug 2022 Philipp Götz, Cagdas Tuna, Andreas Walther, Emanuël A. P. Habets

A dataset of anechoic recordings of various sound sources encountered in domestic environments is presented.

Blind Reverberation Time Estimation in Dynamic Acoustic Conditions

no code implementations23 Feb 2022 Philipp Götz, Cagdas Tuna, Andreas Walther, Emanuël A. P. Habets

The estimation of reverberation time from real-world signals plays a central role in a wide range of applications.

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