137 citations · 249 across the 12 of their papers we have counts for
5 papers · 1 filter
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning
Runwu Shi, Katsutoshi Itoyama, Kazuhiro Nakadai
This paper addresses the extraction of the bird vocalization embedding from the whole song level using disentangled representation learning (DRL). Bird vocalization embeddings are…
UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios
Ragib Amin Nihal, Benjamin Yen, Katsutoshi Itoyama +1
Unmanned aerial vehicles (UAVs) have revolutionized search and rescue (SAR) operations, but the lack of specialized human detection datasets for training machine learning models po…
Can all variations within the unified mask-based beamformer framework achieve identical peak extraction performance?
Atsuo Hiroe, Katsutoshi Itoyama, Kazuhiro Nakadai
This study investigates mask-based beamformers (BFs), which estimate filters for target sound extraction (TSE) using time-frequency masks. Although multiple mask-based BFs have bee…
SLAM-based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization
Jiang Wang, Yuanzheng He, Daobilige Su +6
Robot audition systems with multiple microphone arrays have many applications in practice. However, accurate calibration of multiple microphone arrays remains challenging because t…
From Blurry to Brilliant Detection: YOLO-Based Aerial Object Detection with Super Resolution
Ragib Amin Nihal, Benjamin Yen, Takeshi Ashizawa +2
Aerial object detection presents challenges from small object sizes, high density clustering, and image quality degradation from distance and motion blur. These factors create an i…