Hamozwa/RepeatAudio
Dataset Card for RepeatAudio Audio datasets referenced in Class-Agnostic Audio Repetition Counting. Contains two main sections: RS, RSN and RVN: Synthetic datasets containing varying levels of noise. Uniformly 10 seconds long, with 0-8 repetition events contained in each sample. Clocks, Heartbeats and Dolphins: Real-world derived samples with variable length across mechanical, ecological and medical domains. Relevant code can be found in this repo. Dataset Sources… See the full description on the dataset page: https://huggingface.co/datasets/Hamozwa/RepeatAudio.
Dataset Card for RepeatAudio
Audio datasets referenced in Class-Agnostic Audio Repetition Counting. Contains two main sections:
- RS, RSN and RVN: Synthetic datasets containing varying levels of noise. Uniformly 10 seconds long, with 0-8 repetition events contained in each sample.
- Clocks, Heartbeats and Dolphins: Real-world derived samples with variable length across mechanical, ecological and medical domains.
- Relevant code can be found in this repo.
Dataset Sources
Synthetic data was generated with two source datasets:
- **FSD50K**: Provided audio for repetition events. JSON files indicate source audio for each sample.
- **MUSAN**: Used as noise in background of samples.
Real-world sets were extracted from various sources:
- Clocks: Samples originate from the Clocks subset of BBC Sound Effects.
- Heartbeats: Training set of PhysioNet Challenge 2016.
- Dolphins: Click Trains folder from Song et al.