2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDAUD-30.3
Paper Title SOUND EVENT DETECTION AND SEPARATION: A BENCHMARK ON DESED SYNTHETIC SOUNDSCAPES
Authors Nicolas Turpault, Romain Serizel, Université de Lorraine, CNRS, Inria, Loria, France; Scott Wisdom, Hakan Erdogan, John R. Hershey, Google Research, United States; Eduardo Fonseca, Universitat Pompeu Fabra, Spain; Prem Seetharaman, Descript, Inc., United States; Justin Salamon, Adobe Research, United States
SessionAUD-30: Detection and Classification of Acoustic Scenes and Events 5: Scenes
LocationGather.Town
Session Time:Friday, 11 June, 13:00 - 13:45
Presentation Time:Friday, 11 June, 13:00 - 13:45
Presentation Poster
Topic Audio and Acoustic Signal Processing: [AUD-CLAS] Detection and Classification of Acoustic Scenes and Events
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract We propose a benchmark of state-of-the-art sound event detection systems (SED). We designed synthetic evaluation sets to focus on specific sound event detection challenges. We analyze the performance of the submissions to DCASE 2020 task 4 depending on time related modifications (time position of an event and length of clips) and we study the impact of non-target sound events and reverberation. We show that the localization in time of sound events is still a problem for SED systems. We also show that reverberation and non-target sound events are severely degrading the performance of the SED systems. In the latter case, sound separation seems like a promising solution.