Rongjiehuang/Multi-Singer
PyTorch Implementation of Multi-Singer (ACM-MM'21)
This project helps music producers, sound engineers, and content creators generate realistic singing voices. It takes raw audio recordings of singing and converts them into high-quality, synthetic singing waveforms. The output can be customized to sound like different singers, making it useful for creating demos, vocal tracks, or even entirely new vocal performances.
139 stars. No commits in the last 6 months.
Use this if you need to create synthetic singing voices from audio inputs, especially if you want flexibility in the vocal characteristics.
Not ideal if you're looking for a tool to analyze existing vocal performances or enhance natural singing recordings without synthesizing new audio.
Stars
139
Forks
20
Language
Python
License
MIT
Category
Last pushed
May 08, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/Rongjiehuang/Multi-Singer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TensorSpeech/TensorFlowTTS
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for...
lucasnewman/nanospeech
A simple, hackable text-to-speech system in PyTorch and MLX
Tomiinek/Multilingual_Text_to_Speech
An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing,...
keonlee9420/STYLER
Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech...
jxzhanggg/nonparaSeq2seqVC_code
Implementation code of non-parallel sequence-to-sequence VC