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TUT Database for Acoustic Scene Categorization and Sound Event Detection
The TUT database for acoustic scene categorization and sound event detection. -
Few-shot sound event detection
Few-shot sound event detection. -
DCASE2017 T4 corpus
The DCASE2017 T4 corpus is a dataset of 51,172 clips of 17 sound events. -
TUT database
A dataset for acoustic scene classification and sound event detection. -
SINS database
A dataset of daily activities in a home environment using an acoustic sensor network. -
DESED dataset
Benchmark of state-of-the-art Sound Event Detection systems on synthetic soundscapes designed to target specific challenges of the Sound Event Detection task. -
Dcase2024 Task 4: Sound event detection with heterogeneous data and missing l...
Sound event detection (SED) task with heterogeneous datasets, including Domestic Environ-ment Sound Event Detection (DESED) and Multi-Annotator Estimated STROng labels (MAESTRO) -
RCT: RANDOM CONSISTENCY TRAINING FOR SEMI-SUPERVISED SOUND EVENT DETECTION
Sound event detection (SED) aims to detect sound events within an audio stream by labeling the events as well as their corresponding occurrence timestamps. -
Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound E...
Frequency dynamic convolution (FDY conv) has shown the state-of-the-art performance in sound event detection (SED) using frequency-adaptive kernels obtained by frequency-varying... -
UrbanSound8k
The UrbanSound8k dataset includes 8732 four-second length audio samples distributed in 10 classes: engine idling, car horn, children playing, drilling, air conditioner,...
