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20162024
most citedJoining Sound Event Detection and Localization Through Spatial Segregation

18 citations · 20 across the 8 of their papers we have counts for

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cs.SD2021★ 1 cited

PILOT: Introducing Transformers for Probabilistic Sound Event Localization

Christopher Schymura, Benedikt Bönninghoff, Tsubasa Ochiai +5

Sound event localization aims at estimating the positions of sound sources in the environment with respect to an acoustic receiver (e.g. a microphone array). Recent advances in thi…

cs.SD2021

Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization

Christopher Schymura, Tsubasa Ochiai, Marc Delcroix +4

Sound event localization frameworks based on deep neural networks have shown increased robustness with respect to reverberation and noise in comparison to classical parametric appr…

cs.SD2021

Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain

Julio Wissing, Benedikt Boenninghoff, Dorothea Kolossa +6

Estimating the positions of multiple speakers can be helpful for tasks like automatic speech recognition or speaker diarization. Both applications benefit from a known speaker posi…

cs.SD2019★ 18 cited

Joining Sound Event Detection and Localization Through Spatial Segregation

Ivo Trowitzsch, Christopher Schymura, Dorothea Kolossa +1

Identification and localization of sounds are both integral parts of computational auditory scene analysis. Although each can be solved separately, the goal of forming coherent aud…

cs.SD2016

An Active Machine Hearing System for Auditory Stream Segregation

Christopher Schymura, Thomas Walther, Dorothea Kolossa

This study describes a binaural machine hearing system that is capable of performing auditory stream segregation in scenarios where multiple sound sources are present. The process…