TUT Acoustic Scenes 2017
Introduced by Annamaria Mesaros et al. in TUT database for acoustic scene classification and sound event detection
The TUT Acoustic Scenes 2017 dataset is a collection of recordings from various acoustic scenes all from distinct locations. For each recording location 3-5 minute long audio recordings are captured and are split into 10 seconds which act as unit of sample for this task. All the audio clips are recorded with 44.1 kHz sampling rate and 24 bit resolution.
Source: Ensemble of deep neural networks for acoustic scene classificationBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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TUT Acoustic Scenes 2017
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Qwen-Audio
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Papers
| Paper | Code | Results | Date | Stars |
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