most citedBAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2026

AudioSphere: Towards Self-Supervised Spatial Audio Representation Models

Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden

Recent audio embedding models learn representations that transfer across clip- and frame-level tasks, yet they operate almost exclusively on single-channel signals and are blind to…

cs.SD2026

EquiSELD: Efficient training of equivariant sound event localization and detection networks

Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden

First-order Ambisonics (FOA) signals exhibit exact O(3) symmetry: The rotation or reflection of the FOA signal modifies the direction of arrival of the sound sources, while preserv…

cs.SD2026

Bearings: Self-Supervised Soundfield Embeddings from First-Order Ambisonics

Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden

Recently proposed self-supervised audio encoders learn powerful general-purpose representations of sound scenes, yet they are spatially blind. To supply the missing spatial represe…

cs.SD2026

Feasibility of Time-Domain DNN-Based Speech Enhancement on Embedded FPGA for Hearing Aids

Feyisayo Olalere, Umut Altin, Kiki van der Heijden +1

Hearing aids impose strict latency and power constraints that current DNN-based speech enhancement systems struggle to meet on embedded hardware. We characterize this gap by deploy…

cs.SD2022★ 2 cited

BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization

Sheng Kuang, Jie Shi, Kiki van der Heijden +1

Accurate sound localization in a reverberation environment is essential for human auditory perception. Recently, Convolutional Neural Networks (CNNs) have been utilized to model th…