137 Open source projects that are alternatives of or similar to meta-SR

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

Develop speaker recognition model based on i-vector using TIMIT database

Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.

Share some recent speaker recognition papers and their implementations.

This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

PyTorch implementation of Densely Connected Time Delay Neural Network

neural network based speaker embedder

Pytorch implementation of Generalized End-to-End Loss for speaker verification

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

A program for automatic speaker identification using deep learning techniques.

Kaldi based speaker verification

Code for FOCAL Paper Published at ICLR 2021

Learning To Compare For Text , Few shot learning in text classification

awesome few shot / meta learning papers

MobileNet trained with VoxCeleb dataset and used for voice verification

FSL-Mate: A collection of resources for few-shot learning (FSL).

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Official implementation of Meta-StyleSpeech and StyleSpeech

LibFewShot: A Comprehensive Library for Few-shot Learning.

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

本项目使用了EcapaTdnn模型实现的声纹识别

a deep accent recognition network

One-Shot Learning with Triplet CNNs in Pytorch

⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The hi…

基于Kersa实现的声纹识别模型

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

speaker recognition using keras

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

A Free Library for Speaker Recognition (Verification)，implemented by ncnn.

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Awesome Few-shot learning

It is a complete project of voiceprint recognition or speaker recognition.

TensorFlow 2.0 implementation of MAML.

target speaker extraction and verification for multi-talker speech

Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

使用PaddlePaddle实现声纹识别

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

DELTA is a deep learning based natural language and speech processing platform.

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

D3M - Dynamic Data Discrepancy Mitigation for Anti-spoofing - Implementation of work Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

kaldi-asr/kaldi is the official location of the Kaldi project.

Speaker recognition library based on MARF for raspberry pi and other SBCs.

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Python Meta-Feature Extractor package.

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

UniSpeech - Large Scale Self-Supervised Learning for Speech

Speaker recognition ,Voiceprint recognition

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Implementation for <Neural Similarity Learning> in NeurIPS'19.