Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

vits singing voice conversion based on ppg & hubert；singing voice clone;

AdaSpeech2 based on https://github.com/rishikksh20/AdaSpeech2

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

AdaSpeech: Adaptive Text to Speech for Custom Voice

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

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

Variational Bayes HMM over x-vectors diarization on DIHARD II

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze …

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

这是一个帮助快速克隆git仓库+生成、下载网站二维码+选中右击跳转百度的Chrome插件

A lightweight library to compute Diarization Error Rate (DER).

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

Utterance-level Aggregation For Speaker Recognition In The Wild

speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition

A Python wrapper for Kaldi

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

a simple vae and cvae from keras

Tensorflow and kaldi implementation of our paper "VAE-based regularization for deep speaker embedding"

Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)

Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf

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

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

Speaker embedding(verification and recognition) using Pytorch

基于dVector的说话人识别keras

Python interface to the WebRTC Voice Activity Detector