sd21's repositories
Adversarial-domain-adaptation
TF2 implementation of a domain adversarial neural network
asv-subtools
An Open Source Tools for Speaker Recognition
Audio_Generation
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.
Awesome-Spoken-Language-Identification
An awesome spoken LID repository. (Working in progress
CLAP
Contrastive Language-Audio Pretraining
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
hello-world
This is a demo.
DS-TDNN
Official implement of "Dual-stream Time-Delay Neural Network with Dynamic Global Filter for Speaker Verification" in PyTorch
kaldi-timit-sre-ivector
Develop speaker recognition model based on i-vector using TIMIT database
Maximum-Mean-Discrepancy-Variational-Autoencoder
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.
MMD_Loss.Pytorch
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
Neural-Style-Transfer-Audio
This is PyTorch Implementation of Neural Style Transfer Algorithm which is modified for Audios.
pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
pytorch-pcen
PyTorch reimplementation of per-channel energy normalization for audio.
SASV2_Baseline
SASV2 baseline, a track on ASVspoof5 phase2 challenge
SER-wav2vec
Speech Emotion Recognition using transfer learning with wav2vec on IEMOCAP.
speech-adapters
Codes and datasets for our ICASSP2023 paper, Evaluating parameter-efficient transfer learning approaches on SURE benchmark for speech understanding
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
transformer-cnn-emotion-recognition
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities