DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
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Updated
May 2, 2023 - Python
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
An advanced singing voice synthesis system with high fidelity, expressiveness, controllability and flexibility based on DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Neural network-based singing voice synthesis library for research
Learning the Beauty in Songs: Neural Singing Voice Beautifier; ACL 2022 (Main conference); Official code
Official implementation of SawSing (ISMIR'22)
DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.
PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)
Singing synthesis from MIDI file
Diffusion and Mutual Information-Based Target Speaker SVS by Learning from Singing Teacher
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).
The code for the MaD TwinNet. Demo page:
Mycroft AI official Singing Skill - Mycroft speaks lyrics to popular songs
Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook
Live Coding Singing Synthesizer. Python sinsy-NG wrapper.
lessampler is a Singing Voice Synthesizer
pytorch implementation of JDCNet, singing voice detection and classification network
Supplementary information and code for INTERSPEECH 2018 paper: Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions
An application for music students to increase singing skills. Has various exercises, including scales, intervals, and chords.
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…
python pYIN
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