Identify music genres in audio files
Stream and organize your music library
In-browser text-to-music w/ Transformers.js!
Generate audio from text descriptions
Generate music from text
Project Los Angeles signature music transformer
https://huggingface.co/spaces/VIDraft/mouse-webgen
Search and explore 179k+ MIDI titles
Generate captions for your music files
Classify audio genre from uploaded songs or recordings
Create personalized music tracks from text prompts
In-browser text-to-music w/ Transformers.js!
Separate vocals and accompaniment from audio
Music Genre Classification is a technology that identifies and categorizes music genres from audio files. Powered by advanced AI, it can analyze audio content and determine the genre, such as pop, rock, jazz, classical, or hip-hop, with high accuracy. This tool is designed to work with various audio formats and supports multiple languages, making it versatile for different use cases.
• Support for multiple audio formats: Works with MP3, WAV, and other common audio file types.
• High accuracy: Uses machine learning models trained on diverse music datasets.
• Real-time processing: Quickly identifies genres for immediate feedback.
• Scalability: Can handle large volumes of audio files simultaneously.
• Multilingual support:Compatible with music from different regions and languages.
What types of audio files does Music Genre Classification support?
Music Genre Classification supports common formats like MP3, WAV, and OGG.
Can this tool be used for live music recordings?
Yes, the tool can analyze live recordings, though pre-recorded audio may yield higher accuracy.
How accurate is Music Genre Classification?
Accuracy varies but typically exceeds 80% for popular genres due to its robust training data.