Audio Dataset: Various Music Genres
This music genres dataset contains 500,000 studio-grade music tracks in lossless FLAC format, designed for music genre classification and detection tasks. It provides rich music metadata, including detailed genre labels, instruments, and artist information, making it ideal training data for machine learning and deep learning models in audio analysis.
-
- Audio
- 500,000
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
This music genres dataset contains 500,000 studio-grade music tracks in lossless FLAC format, designed for music genre classification and detection tasks. It provides rich music metadata, including detailed genre labels, instruments, and artist information, making it ideal training data for machine learning and deep learning models in audio analysis.
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
-
- Audio
- 500,000
Dataset Info
| Characteristic | Data |
| Description | Music tracks covering multiple eras, genres, regions, and instrumental combinations. |
| Data types | Audio |
| Tasks | Speech recognition, Music Generation |
| Number of audio files | 500,000 |
| Labeling | Metadata (id, name, audio_format, genres, var_tags, instruments, vocal_instrumental, artist_name, album_id, gender, duration, release date, acoustic electric, album_name, speed, language) |
| Gender | Male, Female |
Statistics
-
- Distribution by gender
-
- Distribution by speed
Technical
Characteristics
| Characteristic | Data |
| Audio Format | FLAC |
| Bit Depth | 16-bit / 24-bit |
| Sampling Rate | 44.1 kHz or higher (48 kHz for ~20 % of tracks) |
| Number of Channels | Stereo |
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