iiscleap / DIHARD_2019_baseline_alltracks
☆37Updated 2 years ago
Alternatives and similar repositories for DIHARD_2019_baseline_alltracks:
Users that are interested in DIHARD_2019_baseline_alltracks are comparing it to the libraries listed below
- Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)☆97Updated 4 years ago
- PyTorch implementation of RPNSD☆60Updated 9 months ago
- ☆60Updated 4 years ago
- Speech enhancement system for the CHiME-5 dinner party scenario☆109Updated last month
- Discriminative Neural Clustering for Speaker Diarisation☆78Updated 2 years ago
- The code for the Interspeech paper "Speaker Embedding Extraction with Phonetic Information"☆45Updated 5 years ago
- This repository contains a set of codes to run (i.e., train, perform inference with, evaluate) a diarization method called EEND-vector-cl…☆77Updated 2 years ago
- ☆29Updated 3 years ago
- A pytorch implementation of xvector embedding☆79Updated 4 years ago
- This is a implementation of kaldi-plda.☆15Updated 6 years ago
- Speech separation with utterance-level PIT experiments☆104Updated 6 years ago
- Extract xvector and ivector under kaldi☆109Updated 6 years ago
- Development Toolkit for the VoxCeleb Speaker Recognition Challenge 2020☆42Updated 4 years ago
- Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"☆101Updated 6 years ago
- A python IO interface for data accessing in kaldi☆39Updated 4 years ago
- End-To-End Speaker Verification based on X-vector and Neural PLDA - A PyTorch implementation☆22Updated 3 years ago
- Tensorflow implementation of x-vector topology on top of Kaldi recipe☆119Updated 5 years ago
- A PyTorch implementation of End-to-End Neural Diarization☆105Updated last year
- Implementation of audio degradation processes☆101Updated 9 years ago
- Conferencing Speech Challenge☆90Updated 3 years ago
- University of Edinbrugh-Johns Hopkins University's system for ASVspoof 2017 Version 2.0 dataset.☆49Updated 5 years ago
- GPU accelerated implementation of i-vector extractor training using PyTorch. Requires Kaldi for feature extraction and UBM training. An e…☆64Updated 5 years ago
- Contains code for Deep Self Supervised Heirarchical Clustering for Speaker Diarization☆17Updated 3 years ago
- PyTorch implementation of PLDA as described in https://ravisoji.com/assets/papers/ioffe2006probabilistic.pdf☆15Updated 4 years ago
- Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP…☆59Updated 4 years ago
- Pytorch implementation of Generalized End-to-End Loss for speaker verification☆84Updated 5 years ago
- A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.☆136Updated 5 years ago
- Augmentation adversarial training for self-supervised speaker recognition☆77Updated 3 years ago
- Libri-CSS: dataset and evaluation pipeline☆143Updated 2 years ago
- ☆14Updated 6 years ago