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Hi! Here is Ming's profile. 👋


  • 🎓 I’m currently studying at SIGS, Tsinghua University for my master's degree.
  • 💻 I’m currently working on text-to-speech (TTS), especially voice cloning.

Educational Background:

  • 2021-2024, M.S. in Shenzhen International Graduate School (SIGS), Tsinghua University
  • 2017-2021, B.S. in Department of Intelligence Science and Technology, South China University of Technology

Ming Cheng's Projects

adaspeech icon adaspeech

AdaSpeech: Adaptive Text to Speech for Custom Voice

autovc icon autovc

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

fastspeech icon fastspeech

The Implementation of FastSpeech based on pytorch.

fastspeech2 icon fastspeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

meta-tts icon meta-tts

Official repository of https://doi.org/10.1109/TASLP.2022.3167258

red-cgan icon red-cgan

code for "Residual Encoder-Decoder Conditional Generative Adversarial Network for Pansharpening"

speech-backbones icon speech-backbones

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

stylespeech icon stylespeech

Official implementation of Meta-StyleSpeech and StyleSpeech

stylespeech-pytorch icon stylespeech-pytorch

PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

tacotron2 icon tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

vits icon vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

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