The AI sound source separation technology used by AIMusic has three breakthrough advantages over traditional de-vocalization software:
- deep learning algorithm: Using an improved version of the Demucs neural network architecture, trained on millions of songs, it recognizes and separates complex vocal components including harmonies and breath sounds.
- Lossless sound processingThe sound loss rate of the separated backing track is less than 5%: while eliminating the vocals, it maximizes the retention of the original song's low-frequency drum beats and high-frequency instrumental details
- Real-time processing capabilityThe song can be processed in 90 seconds for a 3-minute long song, while traditional software takes more than 10 minutes and supports batch upload processing.
Tests show that for songs such as Jay Chou's "Seven Miles", where vocals and backing tracks are highly integrated, AIMusic is still able to extract backing tracks with a purity of 92%. The technology is also suitable for extracting ambient sound effects in movie and TV dialogues, making it a revolutionary tool for audio post-processing.
This answer comes from the articleAIMusic: a free authoring tool for generating AI music, lyrics and videosThe
May not be reproduced without permission:AI productivity tools " What are the technical advantages of AIMusic's de-vocalization tools over traditional software?
