22 citations · 36 across the 17 of their papers we have counts for
15 papers · 1 filter
Robustness of Speech Separation Models for Similar-pitch Speakers
Bunlong Lay, Sebastian Zaczek, Kristina Tesch +1
Single-channel speech separation is a crucial task for enhancing speech recognition systems in multi-speaker environments. This paper investigates the robustness of state-of-the-ar…
EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation
Julius Richter, Yi-Chiao Wu, Steven Krenn +5
We release the EARS (Expressive Anechoic Recordings of Speech) dataset, a high-quality speech dataset comprising 107 speakers from diverse backgrounds, totaling in 100 hours of cle…
The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement
Danilo de Oliveira, Simon Welker, Julius Richter +1
To obtain improved speech enhancement models, researchers often focus on increasing performance according to specific instrumental metrics. However, when the same metric is used in…
Distilling HuBERT with LSTMs via Decoupled Knowledge Distillation
Danilo de Oliveira, Timo Gerkmann
Much research effort is being applied to the task of compressing the knowledge of self-supervised models, which are powerful, yet large and memory consuming. In this work, we show…
A Flexible Online Framework for Projection-Based STFT Phase Retrieval
Tal Peer, Simon Welker, Johannes Kolhoff +1
Several recent contributions in the field of iterative STFT phase retrieval have demonstrated that the performance of the classical Griffin-Lim method can be considerably improved…
On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings
Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier +2
Since its inception, the field of deep speech enhancement has been dominated by predictive (discriminative) approaches, such as spectral mapping or masking. Recently, however, nove…