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Name: sd21
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Name: sd21
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TF2 implementation of a domain adversarial neural network
An Open Source Tools for Speaker Recognition
This repository main point is to implement Generative Adversarial Networks (GANs) and Style Transfer Methods that can create new audio samples based on other samples.
An awesome spoken LID repository. (Working in progress
Contrastive Language-Audio Pretraining
Course Files for Complete Python 3 Bootcamp Course on Udemy
Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Experiments for understanding disentanglement in VAE latent representations
python freamework to extract features from speech
Official implement of "Dual-stream Time-Delay Neural Network with Dynamic Global Filter for Speaker Verification" in PyTorch
This is a demo.
Develop speaker recognition model based on i-vector using TIMIT database
The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)
A PyTorch implementation of the MMD-VAE, an Information-Maximizing Variational Autoencoder (InfoVAE) based off of the TensorFlow implementation published by the author of the original InfoVAE paper.
Parallelized Mutual Information based Feature Selection module.
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
Torch implementation for audio neural style.
This is PyTorch Implementation of Neural Style Transfer Algorithm which is modified for Audios.
Optimal Transport Dataset Distance
A collection of implementations of adversarial domain adaptation algorithms
PyTorch reimplementation of per-channel energy normalization for audio.
Self-Supervised Speech Pre-training and Representation Learning Toolkit.
SASV2 baseline, a track on ASVspoof5 phase2 challenge
Speech Emotion Recognition using transfer learning with wav2vec on IEMOCAP.
Codes and datasets for our ICASSP2023 paper, Evaluating parameter-efficient transfer learning approaches on SURE benchmark for speech understanding
Everything about Transfer Learning and Domain Adaptation--迁移学习
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.