Sound event detection in synthetic domestic environments - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2020

Sound event detection in synthetic domestic environments

Abstract

We present a comparative analysis of the performance of state-of-the-art sound event detection systems. In particular, we study the robustness of the systems to noise and signal degradation, which is known to impact model generalization. Our analysis is based on the results of task 4 of the DCASE 2019 challenge, where submitted systems were evaluated on, in addition to real-world recordings, a series of synthetic soundscapes that allow us to carefully control for different soundscape characteristics. Our results show that while overall systems exhibit significant improvements compared to previous work, they still suffer from biases that could prevent them from generalizing to real-world scenarios.
Fichier principal
Vignette du fichier
Sound_event_detection_in_domestic_environments_on_synthetic_soundscapes.pdf (381.05 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02355573 , version 1 (08-11-2019)
hal-02355573 , version 2 (11-02-2020)

Identifiers

  • HAL Id : hal-02355573 , version 2

Cite

Romain Serizel, Nicolas Turpault, Ankit Shah, Justin Salamon. Sound event detection in synthetic domestic environments. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. ⟨hal-02355573v2⟩
732 View
1989 Download

Share

Gmail Facebook X LinkedIn More