265 citations · 714 across the 33 of their papers we have counts for
6 papers · 1 filter
Crowdsourcing strong labels for sound event detection
Irene Martín-Morató, Manu Harju, Annamaria Mesaros
Strong labels are a necessity for evaluation of sound event detection methods, but often scarcely available due to the high resources required by the annotation task. We present a…
Joint Direction and Proximity Classification of Overlapping Sound Events from Binaural Audio
Daniel Aleksander Krause, Archontis Politis, Annamaria Mesaros
Sound source proximity and distance estimation are of great interest in many practical applications, since they provide significant information for acoustic scene analysis. As both…
Sound Event Detection: A Tutorial
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen +1
The goal of automatic sound event detection (SED) methods is to recognize what is happening in an audio signal and when it is happening. In practice, the goal is to recognize at wh…
Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systems
Irene Martín-Morató, Toni Heittola, Annamaria Mesaros +1
This paper presents the details of Task 1A Acoustic Scene Classification in the DCASE 2021 Challenge. The task targeted development of low-complexity solutions with good generaliza…
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions
Shanshan Wang, Toni Heittola, Annamaria Mesaros +1
This paper presents the details of the Audio-Visual Scene Classification task in the DCASE 2021 Challenge (Task 1 Subtask B). The task is concerned with classification using audio…
What is the ground truth? Reliability of multi-annotator data for audio tagging
Irene Martin-Morato, Annamaria Mesaros
Crowdsourcing has become a common approach for annotating large amounts of data. It has the advantage of harnessing a large workforce to produce large amounts of data in a short ti…