This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
-
Updated
Nov 26, 2024 - Python
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)
经典机器学习算法的极简实现
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
machine learning algorithm
基于Flask Web的中文自动语音识别演示系统,包含语音识别、语音合成、声纹识别之说话人识别。
This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
Gaussian mixture model for incomplete (missing or truncated) and noisy data
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of clas…
Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.
🔉 👦 👧 👩 👨 Speaker identification using voice MFCCs and GMM
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
Voice biometric authentication PAM module for Linux
Add a description, image, and links to the gmm topic page so that developers can more easily learn about it.
To associate your repository with the gmm topic, visit your repo's landing page and select "manage topics."