Journal
DATA IN BRIEF
Volume 41, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.dib.2022.107951
Keywords
Speech; British English; Audio; Recording; Sentence; Clarity; Machine learning; Intelligibility; Hearing
Categories
Funding
- UK's Engineering and Physical Sciences Council [EP/S031448/1, EP/S031308/1, EP/S031324/1, EP/S030298/1]
- Amazon
- Hearing Industry Research Consortium
- Royal National Institute for the Deaf (RNID)
- Honda
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This paper presents the Clarity Speech Corpus, a publicly available dataset of British English speech with forty speakers. The dataset was created for running listening tests to evaluate speech intelligibility and quality in the Clarity Project. It is suitable for various applications in machine learning, speech and hearing technology, acoustics, and psychoacoustics.
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 10,0 0 0 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. (C) 2022 The Authors. Published by Elsevier Inc.
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