49 Open source projects that are alternatives of or similar to speaker-recognition-papers

PyTorch implementation of Densely Connected Time Delay Neural Network

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

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

neural network based speaker embedder

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

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

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

A program for automatic speaker identification using deep learning techniques.

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

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

Kaldi based speaker verification

【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

target speaker extraction and verification for multi-talker speech

explorations in core.logic

A simple code of CycleGAN which is easy to read is implemented by TensorFlow

a deep accent recognition network

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

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

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

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

Python implementation of selective search

Plant Disease Identification Using Convulutional Neural Network

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

MobileNet trained with VoxCeleb dataset and used for voice verification

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

⇨ 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…

使用PaddlePaddle实现声纹识别

基于Kersa实现的声纹识别模型

speaker recognition using keras

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

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

本项目使用了EcapaTdnn模型实现的声纹识别

Speaker recognition ,Voiceprint recognition

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

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

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

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

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

UniSpeech - Large Scale Self-Supervised Learning for Speech

A Collection of Variational Autoencoders (VAE) in PyTorch.

[CVPR2020] Adversarial Latent Autoencoders

[Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

No description or website provided.

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch

A keras implementation of [Neural Arithmetic Logic Units](https://arxiv.org/pdf/1808.00508.pdf) by Andrew et. al.

Is This a Joke? Humor Detection in Spanish Tweets

Code for the paper "A Similarity Measure for Material Appearance" presented in SIGGRAPH 2019 and published in ACM Transactions on Graphics (TOG).

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]