Separate music tracks from audio
Classify music genre from audio files
Generate music from text
Returns predicted emotion and 5 similar songs
Generate music using descriptions and optional melody audio
Explore music with interactive maps
Generate audio from text descriptions
Generate music tracks from text prompts
Generate music from text prompts
Remove timbre from audio files
Separate audio into vocals, bass, drums, and other
Stream and organize your music library
Search and explore 179k+ MIDI titles
Demucs (Finetuned-4S) is a state-of-the-art AI model specifically designed for music track separation. It is a fine-tuned version of the original Demucs model, optimized for improved performance on a variety of audio inputs. The model excels at separating individual tracks (e.g., vocals, instruments, drums) from mixed audio, enabling users to isolate specific elements of a song with high precision.
• High Accuracy: Fine-tuned on diverse datasets to deliver superior separation quality.
• Multi-Track Separation: Capable of separating multiple tracks (e.g., vocals, piano, bass, drums) from a single audio file.
• Speed and Efficiency: Optimized for fast processing while maintaining high-quality outputs.
• Versatility: Works seamlessly with various audio formats and file sizes.
• Improved Performance: Specifically optimized for the 4S dataset, ensuring better handling of complex musical arrangements.
Note: The tool provides both command-line and graphical user interface (GUI) options for ease of use.
What makes Demucs (Finetuned-4S) different from other music separation tools?
Demucs (Finetuned-4S) is optimized for improved performance on a wide range of musical genres and complex mixtures, making it more versatile and accurate than many alternatives.
What types of audio files can I use with Demucs (Finetuned-4S)?
The model supports most common audio formats, including WAV, MP3, and FLAC. For best results, use high-quality audio inputs.
How long does it take to process an audio file?
Processing time varies depending on the file length and system resources. On average, it takes a few seconds to a minute for standard audio files.