Pinned Repositories
ConferencingSpeech2022
Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge in Online Conferencing Applications
audio2photoreal
Code and dataset for photorealistic Codec Avatars driven from audio
AEC-Challenge
AEC Challenge
DNS-Challenge
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
MS-Lumos
Tools to compare metrics between datasets, accounting for population differences and invariant features.
MS-SNSD
The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
P.808
This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).
P.910
Crowdsourced implementation of P.910
SIG-Challenge
rosscutler.github.io