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Sound Event Detection

7 papers with code · Audio

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Learning Sound Event Classifiers from Web Audio with Noisy Labels

4 Jan 2019edufonseca/icassp19

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

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

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

Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings

4 Apr 2016yardencsGitHub/tf_syllable_segmentation_annotation

In this paper we present an approach to polyphonic sound event detection in real life recordings based on bi-directional long short term memory (BLSTM) recurrent neural networks (RNNs).

DATA AUGMENTATION SOUND EVENT DETECTION

Disentangled Feature for Weakly Supervised Multi-class Sound Event Detection

24 May 2019Kikyo-16/disentangled-feature-for-sed

We propose a disentangled feature for weakly supervised multiclass sound event detection (SED), which helps ameliorate the performance and the training efficiency of class-wise attention based detection system by the introduction of more class-wise prior information as well as the network redundancy weight reduction.

MULTIPLE INSTANCE LEARNING 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.

SOUND EVENT DETECTION

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

21 Feb 2017cchinchristopherj/Right-Whale-Unsupervised-Model

Sound events often occur in unstructured environments where they exhibit wide variations in their frequency content and temporal structure.

SOUND EVENT DETECTION