265 citations · 355 across the 5 of their papers we have counts for
10 papers
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…
A Curated Dataset of Urban Scenes for Audio-Visual Scene Analysis
Shanshan Wang, Annamaria Mesaros, Toni Heittola +1
This paper introduces a curated dataset of urban scenes for audio-visual scene analysis which consists of carefully selected and recorded material. The data was recorded in multipl…
Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019
Archontis Politis, Annamaria Mesaros, Sharath Adavanne +2
Sound event localization and detection is a novel area of research that emerged from the combined interest of analyzing the acoustic scene in terms of the spatial and temporal acti…
Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions
Toni Heittola, Annamaria Mesaros, Tuomas Virtanen
This paper presents the details of Task 1: Acoustic Scene Classification in the DCASE 2020 Challenge. The task consists of two subtasks: classification of data from multiple device…