About

Sound Event Detection (SED) is the task of recognizing the sound events and their respective temporal start and end time in a recording. Sound events in real life do not always occur in isolation, but tend to considerably overlap with each other. Recognizing such overlapping sound events is referred as polyphonic SED.

Source: A report on sound event detection with different binaural features

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Datasets

Greatest papers with code

Learning Sound Event Classifiers from Web Audio with Noisy Labels

4 Jan 2019lRomul/argus-freesound

To foster the investigation of label noise in sound event classification we present FSDnoisy18k, a dataset containing 42. 5 hours of audio across 20 sound classes, including a small amount of manually-labeled data and a larger quantity of real-world noisy data.

SOUND EVENT DETECTION

Ubicoustics: Plug-and-Play Acoustic Activity Recognition

14 Oct 2018FIGLAB/ubicoustics

Despite sound being a rich source of information, computing devices with microphones do not leverage audio to glean useful insights about their physical and social context.

ACTIVITY RECOGNITION DATA AUGMENTATION ENVIRONMENTAL SOUND CLASSIFICATION SOUND EVENT DETECTION

Adaptive pooling operators for weakly labeled sound event detection

26 Apr 2018marl/autopool

In this work, we treat SED as a multiple instance learning (MIL) problem, where training labels are static over a short excerpt, indicating the presence or absence of sound sources but not their temporal locality.

MULTIPLE INSTANCE LEARNING SOUND EVENT DETECTION TIME SERIES

Sound event detection in domestic environments withweakly labeled data and soundscape synthesis

26 Oct 2019turpaultn/DCASE2019_task4

This paper presents Task 4 of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2019 challenge and provides a first analysis of the challenge results.

4 SOUND EVENT DETECTION

Robust sound event detection in bioacoustic sensor networks

20 May 2019BirdVox/birdvoxdetect

As a case study, we consider the problem of detecting avian flight calls from a ten-hour recording of nocturnal bird migration, recorded by a network of six ARUs in the presence of heterogeneous background noise.

DATA AUGMENTATION SOUND EVENT DETECTION

A Closer Look at Weak Label Learning for Audio Events

24 Apr 2018ankitshah009/WALNet-Weak_Label_Analysis

In this work, we first describe a CNN based approach for weakly supervised training of audio events.

AUDIO CLASSIFICATION SOUND EVENT DETECTION

Sound Event Detection with Depthwise Separable and Dilated Convolutions

2 Feb 2020dr-costas/dnd-sed

The number of the channels of the CNNs and size of the weight matrices of the RNNs have a direct effect on the total amount of parameters of the SED method, which is to a couple of millions.

SOUND EVENT DETECTION

Improving Sound Event Detection In Domestic Environments Using Sound Separation

3 Nov 2020turpaultn/dcase20_task4

Performing sound event detection on real-world recordings often implies dealing with overlapping target sound events and non-target sounds, also referred to as interference or noise.

4 AUDIO SOURCE SEPARATION SOUND EVENT DETECTION

Training Sound Event Detection On A Heterogeneous Dataset

3 Nov 2020turpaultn/dcase20_task4

Training a sound event detection algorithm on a heterogeneous dataset including both recorded and synthetic soundscapes that can have various labeling granularity is a non-trivial task that can lead to systems requiring several technical choices.

4 SOUND EVENT DETECTION