Lists (3)
Sort Name ascending (A-Z)
Stars
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition (https://arxiv.org/abs/2105.00634, CVPRW 2021)
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
unofficial implementation of the High Fidelity Neural Audio Compression
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Official repository of the paper "MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization".
🍊A simple hexo theme of minimalism
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
A speaker recognition system which uses GMM-UBM for use in an Android application which helps in monitoring patients suffering from Schizophrenia.
Awesome speech/audio LLMs, representation learning, and codec models
🚀 Next Generation AI One-Stop Internationalization Solution. 🚀 下一代 AI 一站式 B/C 端解决方案,支持 OpenAI,Midjourney,Claude,讯飞星火,Stable Diffusion,DALL·E,ChatGLM,通义千问,腾讯混元,360 智脑,百川 AI,火山方舟,新必应,Gemini,Moonshot …
This repository contains official pytorch implementation and pre-trained models for the MR-RawNet.
The official pytorch implemention of the Intespeech 2024 paper "Reshape Dimensions Network for Speaker Recognition"
Next Generation of ShadowsocksX
Resources for the book "Machine Learning for Speaker Recognition
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,思想类,数学类,人物传记书籍