An advanced singing voice synthesis system with high fidelity, expressiveness, controllability and flexibility based on DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

Graduation project submitted to the teaching staff from the Eletronics and Computing Engineering undergrad course from the Polytechnic School of the Federal University of Rio de Janeiro as one of the necessary requirements for obtaining the Electronics and Computing Engineer grade.

Convert a scratch project file to a MusicXML for Sinsy (Singing Voice Synthesis)

Multispeaker Community Vocoder Model for DiffSinger

✨ UTAU DEBUG ENGINE | UTAU错误检查引擎

Notebook made around Google Collaboratory for fine-tuning the HiFiPLN vocoder

Learning the Beauty in Songs: Neural Singing Voice Beautifier; ACL 2022 (Main conference); Official code

UTAUTAI(Unrestricted Tune Automated Technology Artificial Interigence)

toki pona CVVC reclist for UTAU and other singing synthesizer with CVVC support

Neural network-based singing voice synthesis library for research

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

Diffusion and Mutual Information-Based Target Speaker SVS by Learning from Singing Teacher

audio source separation applications

pytorch implementation of JDCNet, singing voice detection and classification network

The code for the MaD TwinNet. Demo page:

zero-shot singing voice conversion

Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook

lessampler is a Singing Voice Synthesizer

A paper and project list about the cutting edge Speech Synthesis, Text-to-Speech (TTS), Singing Voice Synthesis (SVS), Voice Conversion (VC), Singing Voice Conversion (SVC), and related interesting works (such as Music Synthesis, Automatic Music Transcription, Automatic MOS Prediction, SSL-based ASR...etc).

This repo contains the source code of the first deep learning-base singing voice beat tracking system. It leverages WavLM and DistilHuBERT pre-trained speech models to create vocal embeddings and trains linear multi-head self-attention layers on top of them to extract vocal beat activations. Then, it uses HMM decoder to infer signing beats and t…