36 citations · 52 across the 3 of their papers we have counts for
9 papers
Signal-Aware Direction-of-Arrival Estimation Using Attention Mechanisms
Wolfgang Mack, Julian Wechsler, Emanuël A. P. Habets
The direction-of-arrival (DOA) of sound sources is an essential acoustic parameter used, e.g., for multi-channel speech enhancement or source tracking. Complex acoustic scenarios c…
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching
Alessandro Ilic Mezza, Emanuël A. P. Habets, Meinard Müller +1
The performance of machine learning algorithms is known to be negatively affected by possible mismatches between training (source) and test (target) data distributions. In fact, th…
Scattering in Feedback Delay Networks
Sebastian J. Schlecht, Emanuël A. P. Habets
Feedback delay networks (FDNs) are recursive filters, which are widely used for artificial reverberation and decorrelation. One central challenge in the design of FDNs is the gener…
Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters
Wolfgang Mack, Emanuël A. P. Habets
Signal extraction from a single-channel mixture with additional undesired signals is most commonly performed using time-frequency (TF) masks. Typically, the mask is estimated with…
Multi-scale aggregation of phase information for reducing computational cost of CNN based DOA estimation
Soumitro Chakrabarty, Emanuël A. P. Habets
In a recent work on direction-of-arrival (DOA) estimation of multiple speakers with convolutional neural networks (CNNs), the phase component of short-time Fourier transform (STFT)…
On the difference-to-sum power ratio of speech and wind noise based on the Corcos model
Daniele Mirabilii, Emanuël A. P. Habets
The difference-to-sum power ratio was proposed and used to suppress wind noise under specific acoustic conditions. In this contribution, a general formulation of the difference-to-…