A beginner's guide to the Singing_voice_conversion model by Lucataco on Replicate

Source: Dev.to

This is a simplified guide to an AI model called Singing_voice_conversion maintained by Lucataco. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

The singing_voice_conversion model transforms any singer’s voice to sound like a different target singer while maintaining the original melody and lyrics. Built on the Amphion framework using DiffWaveNetSVC technology, this model employs diverse semantic‑based feature fusion to extract speaker‑independent representations from source audio. Unlike simpler audio conversion tools, this implementation combines multiple pretrained models to capture complementary knowledge about melody, lyrics, and acoustic characteristics.

The model supports 15 different target singers, including popular Western artists such as Taylor Swift, Adele, Beyoncé, Bruno Mars, John Mayer, Michael Jackson, and several Chinese vocalists (张学友, 李健, 汪峰, 王菲, 石倚洁, 蔡琴, 那英, 陈奕迅, 陶喆). Created by Lucataco, it offers more sophisticated voice conversion compared to basic text‑to‑speech systems like whisperspeech‑small, preserving musical and emotional nuances of singing rather than merely converting speech patterns.

Model inputs and outputs

Inputs

• source_audio – Input audio file containing the original singing voice to be converted.
• target_singer – Selection from the 15 available singers (Western and Chinese artists listed above).
• pitch_shift_control – Choose between “Auto Shift” for automatic pitch adjustment or “Key Shift” for manual control.
• key_shift_mode – Manual pitch adjustment range from –6 to +6 semitones when using Key Shift mode.
• diffusion_inference_steps – Quality control parameter from 0 to 1000 steps; higher values yield better quality but require more processing time.

Outputs

• Audio file – Converted singing voice audio in the target singer’s style while maintaining the original song structure.

Capabilities

This model excels at maintaining musical elements such as pitch, timing, and lyrical content while adapting the vocal timbre to match the selected target singer.

Click here to read the full guide to Singing_voice_conversion