Understand
This paper introduces a novel dataset for polyphonic sound event detection in urban sound monitoring use-cases.
- Based on isolated sounds taken from the FSD50k dataset, 20,000 polyphonic soundscapes are synthesized with sounds being randomly positioned in the stereo panorama using different loudness levels.
- The paper gives a detailed discussion of possible application scenarios, explains the dataset generation process in detail, and discusses current limitations of the proposed USM-SED dataset.
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ESC: Dataset for Environmental Sound Classification
Karol J. Piczak · 2015
Earlier work this paper cites.
Metrics for polyphonic sound event detection
Annamaria Mesaros, Toni Heittola, and Tuomas Virtanen · 2016
Earlier work this paper cites.
Scaper: A library for soundscape synthesis and augmentation
Justin Salamon, Duncan MacConnell, Mark Cartwright, Peter Li, and Juan Pablo Bello · 2017
Earlier work this paper cites.
Computational Analysis of Sound Scenes and Events
Tuomas Virtanen, Mark D. Plumbley, and Dan Ellis, editors · 2018
Earlier work this paper cites.
SONYC: A System for the Monitoring, Analysis and Mitigation of Urban Noise Pollution
Juan Pablo Bello, Claudio Silva, Oded Nov, R. Luke DuBois, Anish Arora, Justin Salamon, Charles Mydlarz, and Harish Doraiswamy · 2018
Earlier work this paper cites.
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Then
FSD50K: an Open Dataset of Human-labeled Sound Events
Eduardo Fonseca, Student Member, Xavier Favory, Jordi Pons, Frederic Font, and Xavier Serra · 2020
Later among the works it cites.
A Framework for the Robust Evaluation of Sound Event Detection
Cagdas Bilen, Giacomo Ferroni, Francesco Tuveri, Juan Azcarreta, and Sacha Krstulovic · 2020
Later among the works it cites.
Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks
Michael Taenzer, Stylianos I. Mimilakis, and Jakob Abeßer · 2021
Closest in time.
Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019
Archontis Politis, Annamaria Mesaros, Sharath Adavanne, Toni Heittola, and Tuomas Virtanen · 2021
Closest in time.
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos Mimilakis, Sascha Grollmisch, Jakob Abeßer, and Hanna Lukashevich · 2021
Closest in time.
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