toolevalxm/Melodix-AudioFeatures-Raw
Melodix: Audio Feature Analysis Framework 📑 Paper | 🌐 Project Page | 💾 Released Resources | 📦 Repo We release the raw audio features for our processed AudioFeatures dataset, adopted from the original AudioSet dataset from Google Research team. The data format for each line in the audio_features_10k.jsonl is as follows: { "audio_id": <unique identifier for the audio clip>… See the full description on the dataset page: https://huggingface.co/datasets/toolevalxm/Melodix-AudioFeatures-Raw.
Melodix: Audio Feature Analysis Framework
<p align="left"> 📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="blank">Paper</a>    |    🌐 <a href="https://melodix.github.io/" target="blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/toolevalxm/melodix-67a978e28fd926b56a4f55a2" target="blank">Released Resources</a>    |    📦 <a href="https://github.com/xmhtoolathlon/Melodix-Pipeline" target="blank">Repo</a>
We release the raw audio features for our processed AudioFeatures dataset, adopted from the original AudioSet dataset from Google Research team.
The data format for each line in the audio_features_10k.jsonl is as follows:
{
"audio_id": <unique identifier for the audio clip>,
"mel_spectrogram": <mel spectrogram features>,
"mfcc_features": <MFCC audio features>,
"duration_seconds": <duration of the audio clip>,
"sample_rate": <audio sample rate>,
"source": <the source of the raw audio files>,
"category": <the audio classification category>,
"meta": <meta information about this sample>
}Some of the features may have missing values due to audio processing errors or format incompatibilities.
*Note: Due to varying audio quality in source data, some feature extractions may be incomplete. We plan to improve this in future releases.
License
The license for this dataset is CC-BY-4.0.