Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus
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 proce...
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Format: | Article |
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Elsevier
2022-04-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922001627 |
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author | Simone Graetzer Michael A. Akeroyd Jon Barker Trevor J. Cox John F. Culling Graham Naylor Eszter Porter Rhoddy Viveros-Muñoz |
author_facet | Simone Graetzer Michael A. Akeroyd Jon Barker Trevor J. Cox John F. Culling Graham Naylor Eszter Porter Rhoddy Viveros-Muñoz |
author_sort | Simone Graetzer |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-13T20:08:36Z |
format | Article |
id | doaj.art-36bbd811a1fa49d99b3fe8e835f04169 |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-12-13T20:08:36Z |
publishDate | 2022-04-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-36bbd811a1fa49d99b3fe8e835f041692022-12-21T23:32:58ZengElsevierData in Brief2352-34092022-04-0141107951Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpusSimone Graetzer0Michael A. Akeroyd1Jon Barker2Trevor J. Cox3John F. Culling4Graham Naylor5Eszter Porter6Rhoddy Viveros-Muñoz7Acoustics Research Centre, University of Salford, United KingdomHearing Sciences, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, United KingdomDepartment of Computer Science, University of Sheffield, United KingdomAcoustics Research Centre, University of Salford, United Kingdom; Corresponding author.School of Psychology, Cardiff University, United KingdomHearing Sciences - Scottish Section, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, United KingdomHearing Sciences, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, United KingdomSchool of Psychology, Cardiff University, United KingdomThis 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.http://www.sciencedirect.com/science/article/pii/S2352340922001627SpeechBritish EnglishAudioRecordingSentenceClarity |
spellingShingle | Simone Graetzer Michael A. Akeroyd Jon Barker Trevor J. Cox John F. Culling Graham Naylor Eszter Porter Rhoddy Viveros-Muñoz Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus Data in Brief Speech British English Audio Recording Sentence Clarity |
title | Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus |
title_full | Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus |
title_fullStr | Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus |
title_full_unstemmed | Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus |
title_short | Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus |
title_sort | dataset of british english speech recordings for psychoacoustics and speech processing research the clarity speech corpus |
topic | Speech British English Audio Recording Sentence Clarity |
url | http://www.sciencedirect.com/science/article/pii/S2352340922001627 |
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