Media Summary: Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring. Sound event detection and separation in domestic environments. Urban Sound Tagging with Spatiotemporal Context.
Dcase 2020 Workshop Challenge Spotlight - Detailed Analysis & Overview
Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring. Sound event detection and separation in domestic environments. Urban Sound Tagging with Spatiotemporal Context. Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring Kevin Wilkinghoff1 ... Audio Tag Representation Guided Dual Attention Network for Acoustic Scene Classification Ju-Ho Kim1, Jee-Weon Jung1, ... Detection of Anomalous Sounds for Machine Condition Monitoring using Classification Confidence Tadanobu Inoue1, ...
Sound Event Localization and Detection Based on CRNN using Rectangular Filters and Channel Rotation Data Augmentation ... Audio-Visual Scene Classification: Analysis of Audio Captioning Based on Transformer and Pre-Trained CNN Kun Chen1, Yusong Wu1, Ziyue Wang2, Xuan Zhang2, Fudong ... Domain-Adversarial Training and Trainable Parallel Front-End for the Semi-supervised Sound Event Detection Using Multiscale Channel Attention and Multiple Consistency Training Yih Wen Wang ... RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis Yuki Okamoto1, Keisuke Imoto2,1, ...
Few-Shot Bioacoustic Event Detection: A New Task at the Searching for Efficient Network Architectures for Acoustic Scene Classification Yuzhong Wu1, and Tan Lee1 1The Chinese ...
