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alphabuilding-syntheticdataset

assert

JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).

asvchallenge2019

audio-samples.github.io

awesome-diarization

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

beaqlejs

*BeaqleJS* provides a framework to create browser based listening tests and is purely based on open web standards like HTML5 and Javascript.

cmu-multimodaldatasdk

MultimodalSDK provides tools to easily load well-known multimodal datasets such as CMU-MOSEI, CMU-MOSI, POM, and ICT-MMMO.

cs4243_2022

Computer Vision and Pattern Recognition, NUS CS4243, 2022

cvss

CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus

deadbolt-2

An authorization module for the Play! framework

deepspectrum

deformingautoencoders-pytorch

Pytorch code for DAE and IntrinsicDAE

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

dme

ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

espnet

End-to-End Speech Processing Toolkit

extended_vqvae

factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

features.jl

feedvalidator

A validator for syndicated feeds. It works with Atom, RSS feeds as well as OPML and KML formats.

ganmm

Mixture of Generative Adversarial Networks for Clustering

gantts

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

gaussianmixturemodels.jl

hackathon

Code to be publicly released and usable by the Computational Linguistics and Clinical Psychology Community, in support of our Hackathon(s).

hybrid_prosody_model

Scripts to prepare linguistic features and prosody features from trained DNN models

icassp2021

ievms

Automated installation of the Microsoft IE App Compat virtual machines

inout

ivector-xvector

Extract xvector and ivector under kaldi

keras-gan

Keras implementations of Generative Adversarial Networks.