Sound Event Detection
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Learning Sound Event Classifiers from Web Audio with Noisy Labels
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.
Adaptive pooling operators for weakly labeled sound event detection
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
• ankitshah009/WALNet-Weak_Label_Analysis
In this work, we first describe a CNN based approach for weakly supervised training of audio events.
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
• yardencsGitHub/tf_syllable_segmentation_annotation
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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).
Disentangled Feature for Weakly Supervised Multi-class Sound Event Detection
• Kikyo-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.
Robust sound event detection in bioacoustic sensor networks
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.
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
• cchinchristopherj/Right-Whale-Unsupervised-Model
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Sound events often occur in unstructured environments where they exhibit wide variations in their frequency content and temporal structure.