Tianrui Wang (王天锐) (wangtianrui)

wangtianrui

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Company:BJTU

Location:Beijing

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Tianrui Wang (王天锐)'s repositories

OldPeopleHome

:fire:智能养老院项目

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HGCN

The official repo of "HGCN: Harmonic Gated Compensation Network For Speech Enhancement"

APC-SNR

Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

PM-EVC

This is the official implement of A Controllable Emotion Voice Conversion Framework with Pre-trained Speech Representations

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My-notes

:books:学习随笔

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DPCRN_DNS3

Implementation of paper "DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement"

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FAcodec

Training code for FAcodec presented in NaturalSpeech3

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versatile_audio_super_resolution

Versatile audio super resolution (any -> 48kHz) with AudioSR.

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RUI_SE

The official repo of "A Refining Underlying Information Framework for Speech Enhancement"

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SLAM-LLM

Speech, Language, Audio, Music Processing with Large Language Model

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AcademiCodec

AcademiCodec: An Open Source Audio Codec Model for Academic Research

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asr_labs

ASR labs

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BigVGAN

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

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fairseq

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

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paper2gui

Convert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

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poolformer

PoolFormer: MetaFormer is Actually What You Need for Vision

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QuadTreeAttention

QuadTree Attention for Vision Transformers (ICLR2022)

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s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

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silero-vad

Silero VAD: pre-trained enterprise-grade Voice Activity Detector, Language Classifier and Spoken Number Detector

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TinyLlama

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

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Uformer

Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation

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VoiceLDM

VoiceLDM: Text-to-Speech with Environmental Context

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