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audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

blog_my_coding_road

Deploy your own Notion-powered website in minutes with Next.js and Vercel.

bwe_historical_recordings

Bandwidth Extension of Historical Recordings using Generative Adversarial Networks

cs-self-learning

计算机自学指南

dcase2020_task1

Code for DCASE 2020 task 1a and task 1b.

deep-music-enhancer

deep-non-linear-filter

di_nn

Dual-Input Neural Networks

elderly_ser

Transferability of cross-lingual and cross-age speech emotion recognition

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.

inf-generator

Generating sensor signals in isotropic noise fields

ntu_ml_2023

HUNG-YI LEE (李宏毅) Machine Learning 2023 Homework

retrieval-based-voice-conversion-webui

Voice data <= 10 mins can also be used to train a good VC model!

seld-dcase2022

Baseline method for sound event localization task of DCASE 2022 challenge

so-vits-svc

SoftVC VITS Singing Voice Conversion

speech-emotion-recognition

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

srp-dnn

A python implementation of “SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound Source Localization” [ICASSP 2022]

stable-diffusion-guide

Here is a guide for Stable Diffusion

teachyourselfcs-cn

TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

transformer-based-ser

Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch

triu-net-module

PyTorch Implement of TriU-Net

voice-separation-and-enhancement

A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.