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Go Listen: An End-to-End Online Listening Test Platform

Authors :
Andrew Hines
Qijian Zhang
Wenyi Sun
Dan Barry
Source :
Journal of Open Research Software; Vol 9, No 1 (2021); 20, Journal of Open Research Software, Vol 9, Iss 1 (2021)
Publication Year :
2021
Publisher :
Ubiquity Press, Ltd., 2021.

Abstract

Subjective listening tests are routinely conducted by academic researchers and industry professionals to assess the quality of various speech and audio processing algorithms and transmission services. Listening tests often take place in controlled environments for the sake of consistency, but in many cases, listening tests could be undertaken remotely using a suitable web interface. Despite the work of several projects in the past, there is no publicly available, fully hosted listening test platform which allows for easy test creation, deployment and data collection. Here, we present a fully functional end-to-end listening test platform which allows a user to create and share MUSHRA, ACR and A/B tests within minutes. Collected data can then be downloaded in various forms. For users who would prefer to host the system on their own servers, we provide Docker and AWS images for easy installation.

Details

ISSN :
20499647
Volume :
9
Database :
OpenAIRE
Journal :
Journal of Open Research Software
Accession number :
edsair.doi.dedup.....02ac68a63669b93d2a07a515b3c22fd9