349 Open source projects that are alternatives of or similar to dropclass_speaker

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

Kaldi based speaker verification

PyTorch implementation of Densely Connected Time Delay Neural Network

Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)

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

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

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

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neural network based speaker embedder

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Automated Machine Learning with scikit-learn

⇨ 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…

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

MobileNet trained with VoxCeleb dataset and used for voice verification

Python Meta-Feature Extractor package.

Share some recent speaker recognition papers and their implementations.

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

[ICLR 2019] Learning Factorized Multimodal Representations

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Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

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

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

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scripts to align a given wave to its transcription using trained models by Kaldi

使用PaddlePaddle实现声纹识别

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

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

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Whitening for Self-Supervised Representation Learning | Official repository

No description or website provided.

基于Kersa实现的声纹识别模型

Open source projects related to Snips https://snips.ai/.

Profiling and Deanonymizing Ethereum Users

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

Code for meta-learning initializations for image segmentation

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Official open source implementation of the paper "Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation"

No description or website provided.

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Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Meta-DETR: Official PyTorch Implementation

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

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