Separate vocals from background in audio
Remove silence and split audio into segments
remove image background
Convert voice to match reference audio
Audio Suppression de silent
Remove backgrounds from uploaded videos
Separate speech from noisy audio
Extract target speaker audio from mixed recordings
Deep Learning implementation of DAE + VAE
幫一段podcast mp3 做背景音樂BGM混音的工具
Vocal and background audio separator
Remove noise from your speech recordings
Vocal Separation SOTA is a cutting-edge AI-powered tool designed to isolate vocals from background noise in audio files. It leverages advanced machine learning algorithms to achieve high-quality separation, making it ideal for audio engineers, musicians, and podcasters who need clean vocal tracks. The tool is particularly effective at reducing background noise and isolating voice from complex audio mixes.
• Advanced Vocal Separation: Uses state-of-the-art AI models to separate vocals from background noise.
• High-Quality Output: Produces clean and sharp vocal tracks with minimal residual noise.
• Real-Time Preview: Allows users to preview the separation results before exporting.
• Multiple Format Support: Supports popular audio formats like WAV, MP3, and more.
• Batch Processing: Enables users to process multiple audio files simultaneously for efficiency.
What formats does Vocal Separation SOTA support?
Vocal Separation SOTA supports WAV, MP3, AAC, and FLAC formats, ensuring compatibility with most audio workflows.
Is there a limit to the size of files I can process?
While there is no strict file size limit, processing times may increase for larger files. For optimal performance, files under 100MB are recommended.
Can I use Vocal Separation SOTA for podcasts or live recordings?
Yes, Vocal Separation SOTA is ideal for podcasts and live recordings. It effectively isolates vocals and reduces background noise, ensuring professional-grade audio quality.