Separate audio channels from a mixed audio file
a demo of python audio separator
Mixes the vocals with instrumental
easy audio espration with demucs!
Convert and separate audio with models
VoiceReplacer
Extract vocals and instrumentals from audio
Convert audio using RVC models and separate vocals
Split audio into parts
Plot vocal pitch from audio
music-transform
Separate audio into different components
Split, convert, and isolate audio easily
Whisper is an AI-powered audio processing tool designed to separate vocals and other audio channels from mixed audio files. It leverages advanced algorithms to isolate tracks with high accuracy, making it a valuable tool for music producers, editors, and creators who need precise control over their audio components.
• Vocal Isolation: Whisper can cleanly separate vocals from instrumental tracks in mixed audio files.
• Multi-Track Separation: It supports separation of multiple audio channels, not just vocals and instruments.
• High-Quality Output: The tool maintains audio quality during separation, ensuring professional-grade results.
• User-Friendly Interface: Whisper is designed for ease of use, even for those without extensive audio engineering experience.
• Customizable Settings: Users can adjust parameters to refine separation results according to their needs.
• Real-Time Preview: Preview separated tracks in real-time to ensure accuracy before exporting.
What types of audio files does Whisper support?
Whisper supports most common audio formats, including WAV, MP3, and AIFF, ensuring compatibility with a wide range of projects.
Can I adjust the separation quality after previewing?
Yes, Whisper allows users to tweak settings and parameters to refine the separation results before exporting.
Is Whisper suitable for professional audio engineers?
Absolutely! Whisper is designed for both casual users and professionals, offering high-quality output and customizable options for advanced users.