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Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus.
Graetzer, Simone; Akeroyd, Michael A; Barker, Jon; Cox, Trevor J; Culling, John F; Naylor, Graham; Porter, Eszter; Viveros-Muñoz, Rhoddy.
Afiliación
  • Graetzer S; Acoustics Research Centre, University of Salford, United Kingdom.
  • Akeroyd MA; Hearing Sciences, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, United Kingdom.
  • Barker J; Department of Computer Science, University of Sheffield, United Kingdom.
  • Cox TJ; Acoustics Research Centre, University of Salford, United Kingdom.
  • Culling JF; School of Psychology, Cardiff University, United Kingdom.
  • Naylor G; Hearing Sciences - Scottish Section, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, United Kingdom.
  • Porter E; Hearing Sciences, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, United Kingdom.
  • Viveros-Muñoz R; School of Psychology, Cardiff University, United Kingdom.
Data Brief ; 41: 107951, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35242933
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Países Bajos