CISM
Using Docker for the first time for the first instance
Extract vocals and instrumentals from an audio file
Convert and separate audio using vocal models
Convert, separate, and generate audio with Ilaria RVC
Process audio files to separate stems
Separate audio into different components
Mixes the vocals with instrumental
karatutu21
Separate specific instruments from an MP3 file
Separate audio stems and convert to MIDI
Separate instrumental and vocal tracks from audio files
pyharp-wrapped demucs stem separator model running on GPU
CISM is an AI-powered tool designed to separate traditional Chinese instrumental sounds from mixed audio tracks. It leverages advanced audio processing technology to isolate specific musical elements, making it particularly useful for music producers, researchers, and enthusiasts looking to work with individual components of a track. CISM is tailored for preserving and analyzing cultural musical heritage by accurately extracting traditional Chinese instrumental sounds.
• Advanced audio separation technology optimized for traditional Chinese instruments.
• High-quality output with minimal audio distortion after separation.
• User-friendly interface for easy navigation and processing.
• Support for multiple audio formats to accommodate different workflows.
• Batch processing capabilities for handling multiple files efficiently.
What types of instruments can CISM separate?
CISM is specifically designed to separate traditional Chinese instrumental sounds, including but not limited to the erhu, pipa, guqin, and sheng.
How long does the separation process take?
The processing time depends on the length and complexity of the audio file. Typically, it takes a few seconds to a few minutes for standard tracks.
Can CISM handle live recordings or only studio recordings?
CISM can process both live and studio recordings, though studio recordings may yield better results due to higher audio clarity.