kaldi-asr/kaldi is the official location of the Kaldi project.
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Updated
Aug 31, 2020 - Shell
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kaldi-asr/kaldi is the official location of the Kaldi project.
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
DELTA is a deep learning based natural language and speech processing platform.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding
SincNet is a neural architecture for efficiently processing raw audio samples.
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
In defence of metric learning for speaker recognition
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196
Share some recent speaker recognition papers and their implementations.
Time delay neural network (TDNN) implementation in Pytorch using unfold method
This repository contains audio samples and supplementary materials accompanying publications related to the speaker-id team at Google.
Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"
Author's repository for reproducing RawNet2, a text-independent speaker verification system, with PyTorch and RawNet with PyTorch and Keras.
Simple d-vector based Speaker Recognition (verification and identification) using Pytorch
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
A program for automatic speaker identification using deep learning techniques.
An LDA/PLDA estimator using KALDI in python for speaker verification tasks
A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.
This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
target speaker extraction and verification for multi-talker speech
【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
Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
Pytorch implementation of Generalized End-to-End Loss for speaker verification
mirror of VoxCeleb dataset - a large-scale speaker identification dataset
Voxceleb1 i-vector based speaker recognition system
Kaldi based speaker verification
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One can use https://github.com/s-yata/marisa-trie to save a lot of space for symbols.