Please use this identifier to cite or link to this item:
For citation please use:
Main Title: NISQA Speech Quality Corpus
Author(s): Mittag, Gabriel
Type: Audio
Language Code: en
Abstract: The NISQA Speech Quality Corpus contains two training, two validation and four test datasets that have been used for training and evaluating the deep learning based speech quality model NISQA. Overall, it contains more than 14,000 speech files with annotated speech quality and speech quality dimension ratings.
Issue Date: Apr-2021
Date Available: 19-Apr-2021
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): speech quality
deep learning
speech samples
machine learning
quality of experience
Appears in Collections:Quality and Usability Lab » Research Data

Files in This Item:
Format: Text | Size: 2.03 kB
Format: ZIP Archive | Size: 15.57 GB

Version History
Version Item Date Summary
5 10.14279/depositonce-11807.5 2021-04-17 12:19:13.996 Adding AusTalk data
2 10.14279/depositonce-11807.2 2021-04-14 10:05:10.226 Fixing some mistakes in the .csv files
1 10.14279/depositonce-11807 2021-04-13 09:53:49.0
Item Export Bar

Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.