Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus

Graetzer, SN ORCID: https://orcid.org/0000-0003-1446-5637, Akeroyd, MA, Barker, J, Cox, TJ ORCID: https://orcid.org/0000-0002-4075-7564, Culling, JF, Naylor, G, Porter, E and Muñoz, RV 2022, 'Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus' , Data in Brief, 41 , p. 107951.

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution 4.0.

Download (315kB) | Preview

Abstract

This paper presents the Clarity Speech Corpus, a publicly available, forty speaker British English speech dataset. The corpus was created for the purpose of running listening tests to gauge speech intelligibility and quality in the Clarity Project, which has the goal of advancing speech signal processing by hearing aids through a series of challenges. The dataset is suitable for machine learning and other uses in speech and hearing technology, acoustics and psychoacoustics. The data comprises recordings of approximately 10,000 sentences drawn from the British National Corpus (BNC) with suitable length, words and grammatical construction for speech intelligibility testing. The collection process involved the selection of a subset of BNC sentences, the recording of these produced by 40 British English speakers, and the processing of these recordings to create individual sentence recordings with associated transcripts and metadata.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Data in Brief
Publisher: Elsevier
ISSN: 2352-3409
Related URLs:
Funders: Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: USIR Admin
Date Deposited: 17 Feb 2022 14:20
Last Modified: 24 Feb 2022 12:15
URI: http://usir.salford.ac.uk/id/eprint/63211

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year