Media Summary: Few-Shot Bioacoustic Event Detection: A New Task at the Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments Janek Ebbers (Paderborn University); ... Audio-Visual Scene Classification: Analysis of
Dcase Workshop 2021 Id 52 - Detailed Analysis & Overview
Few-Shot Bioacoustic Event Detection: A New Task at the Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments Janek Ebbers (Paderborn University); ... Audio-Visual Scene Classification: Analysis of Semi-supervised Sound Event Detection Using Multiscale Channel Attention and Multiple Consistency Training Yih Wen Wang ... Acoustic Event Detection Using Speaker Recognition Techniques: Model Optimization and Explainable Features Mattson Ogg ... Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes Pablo Zinemanas ...
A Lightweight Approach for Semi-Supervised Sound Event Detection with Unsupervised Data Augmentation Xinyu Cai (Tsinghua ... Detecting Presence Of Speech In Acoustic Data Obtained From Beehives Pascal Janetzky (University of Würzburg); Padraig ... Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring Kevin Wilkinghoff1 ... Diversity and Bias in Audio Captioning Datasets Irene Martin (Tampere University); Annamaria Mesaros (Tampere University) ... On the Effect of Coding Artifacts on Acoustic Scene Classification Nagashree Rao (University of Erlangen-Nuremberg); Nils G ... Low-Complexity Acoustic Scene Classification for Multi-Device Audio: Analysis of
Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring. Guided Multi-Branch Learning Systems for Sound Event Detection with Sound Separation Yuxin Huang1,2, Liwei Lin1,2, Shuo ...
