Identify music genres in audio files
Demo for Jasco Model Music Stems Generation
Separate vocals and accompaniment from audio
Search and explore 179k+ MIDI titles
Generate drum patterns from text descriptions
アレンジ曲を作成する
https://huggingface.co/spaces/VIDraft/mouse-webgen
Create custom music tracks from text or melodies
Generate music from text and melody descriptions
Generate musical descriptions from audio
Separate vocals from instrumental music in audio files
Browse and view music album and track details
Generate music based on a title of your imagination :)
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.