Separate vocals from background in audio
Image tools online(and videos)
This tool is intended to help transcribing interviews.
Remove backgrounds from uploaded videos
Deep Learning implementation of DAE + VAE
Transcribe and process audio files
Zero-Shot Voice Cloning-Resistant Watermarking
Extract target speaker audio from mixed recordings
This is a demo noise detector
A music separation model
Vocal and background audio separator
Remove background from images
Remove noise from your speech recordings
Vocal Separation SOTA is a state-of-the-art AI tool designed to separate vocals from background noise in audio files. It leverages advanced machine learning algorithms to precisely isolate vocals, allowing users to extract clean vocal tracks for further processing, mixing, or analysis. Ideal for audio engineers, music producers, and content creators, this tool delivers high-quality vocal separation with ease and efficiency.
1. What audio formats does Vocal Separation SOTA support?
Vocal Separation SOTA supports popular formats like WAV, MP3, FLAC, and more, making it versatile for various use cases.
2. Can I process multiple files at once?
Yes, the tool allows batch processing, enabling you to separate vocals from multiple audio files simultaneously.
3. Is the separated vocal output high quality?
Yes, Vocal Separation SOTA is designed to deliver high-quality vocal separation, ensuring clear and clean output for professional use.