AIMusic integratedde-vocalization engineAdopting the third-generation deep neural network architecture, it achieves a source separation accuracy of 94.7% on the public test dataset. The tool breaks through to realize real-time processing on the browser side: after the user uploads a standard audio file (MP3/WAV/FLAC supported), the system passes theTime-frequency domain analysisThe mix is broken down into two separate tracks, vocal and instrumental, with the entire process taking an average of 90 seconds. In terms of processing quality, the backing track retains the full stereo field and band information, and the residual vocal amplitude is less than -36dB, which meets the needs of professional Karaoke production and sample adaptation.
Core technology advantages include the use ofMulti-scale spectral feature extractionThe algorithm effectively solves the spectral confusion problem of traditional methods in complex arrangements; the optimized WebAssembly computation module makes the processing speed 3 times faster than desktop software; and the intelligent sound quality compensation system can automatically repair the missing frequency bands caused by separation. In practice, the tool is not only used for music adaptation, but also widely used by podcast producers to extract interview vocals, demonstrating strong cross-scene adaptability.
This answer comes from the articleAIMusic: a free authoring tool for generating AI music, lyrics and videosThe
