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

Singing Voice Synthesis based on VITS, different from VISinger

A pipeline to segment tissue from the background in histological images

A tool for simulating random mutations in any genome

a guide to grapheme-to-phoneme conversion and phoneme list for ace singing voice synthesis engine

Multispeaker Community Vocoder Model for DiffSinger

Unofficial implementation JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation(https://arxiv.org/abs/2310.19180)

Simple prototype of converting whole slide image (WSI) to multiframe DICOM images

ndn-python-svs: NDN StateVectorSync protocol python library for syncing distributed real-time applications.

GUI wrapped around anonymise label for SVS and NDPI whole slide images

Tools for making the Diffsinger dataset

Anonymize different kinds of bio-medical data

Convert the UTAU Voicebank to a configuration compatible with DiffSinger Dataset

Convenient interface for generating tiles from Aperio SVS format images

Histopathological image processing and segmentation

A sophisticated Petri Net simulator built with Python, featuring a modern GUI, parallel processing capabilities, and interactive animations.

Singing Voice Synthesis via Shallow Diffusion Mechanism: explore phoneme-mapped cross-lingual transfer learning using minimal target language data (English to German)

Merge annotation xml file of Aperio Imagescope.

Grad-SVS : Korean Singing Voice Synthesis with Diffusion

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.