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About Me

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  • 👋 A senior algorithm engineer for multi-modal audio at Tencent Music Entertainment Group.
  • 🔭 Extensive experience in speech synthesis, singing voice synthesis, signal processing, machine learning and multi-modal algorithms
  • 📫 Research topics are displayed on my Google Scholar
  • ⚡ Contact me via the my Email [email protected]

My skills

skills

My github

auzxb's GitHub stats Top Langs

auzxb's Projects

alta icon alta

A complete training recipe for kaldi-based Automatic Lyrics Transcription.

auraloss icon auraloss

Collection of audio-focused loss functions in PyTorch

bigvgan icon bigvgan

Unofficial pytorch implementation of BigVGAN: A Universal Neural Vocoder with Large-Scale Training

bigvgan-1 icon bigvgan-1

Official PyTorch implementation of BigVGAN (ICLR 2023)

chatbot-list icon chatbot-list

行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍

chinese-poetry icon chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。

clap icon clap

Contrastive Language-Audio Pretraining

crepe icon crepe

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

deep-q-learning icon deep-q-learning

PyTorch Implementation of Deep Q-Learning with Experience Replay in Atari Game Environments, as made public by Google DeepMind

deepchorus icon deepchorus

An end-to-end chorus detection model DeepChorus.

denoiser icon denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

ea-svc icon ea-svc

An implement of "Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training"

efficientat icon efficientat

This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.

enclap icon enclap

Official Implementation of EnCLAP

encodec icon encodec

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

facechain icon facechain

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fragmentvc icon fragmentvc

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

g2pm icon g2pm

A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset

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