whisperx-test
Separate vocals and instruments from audio
Convert, separate, and generate audio with Ilaria RVC
Process audio files to separate stems
Convert and separate audio with models
Mixes the vocals with instrumental
Plot vocal pitch from audio
Separate music and vocals from audio
CISM
Separate audio into vocals and accompaniment, transcribe vocals
pyharp-wrapped demucs stem separator model running on GPU
Using Docker for the first time for the first instance
Audio-Separator Demo
Whisperx Test is an AI-powered tool designed to separate vocals from music tracks and transcribe audio to text. It offers a unique vocal extraction feature, allowing users to isolate vocals from instrumental backgrounds efficiently. This tool is particularly useful for music producers, content creators, and anyone needing to work with audio files at a professional level.
• Vocal Separation: Isolate high-quality vocals from music tracks with advanced AI technology.
• Audio Transcription: Convert speech in audio files to text with high accuracy.
• Support for Multiple Formats: Process various audio file formats such as WAV, MP3, and M4A.
• Multi-Language Support: Transcribe audio in multiple languages for global accessibility.
• User-Friendly Interface: Easily upload files, select options, and download processed results.
• Export Options: Save separated vocals or transcriptions in formats like WAV or TXT.
1. What file formats does Whisperx Test support?
Whisperx Test supports popular audio formats like WAV, MP3, M4A, and FLAC.
2. Can Whisperx Test handle multiple languages?
Yes, Whisperx Test offers multi-language support, allowing transcription in several languages.
3. How long does the processing take?
Processing time depends on the length of the audio file and the selected options. Longer files or complex processing may take a few minutes.