Dataset for Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners

Bleeck, Stefan
MONAGHAN, JESSICA

DOI

Publisher

University of Southampton

Abstract

Dataset supporting 'Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners' published in the Journal of the Acoustical Society of America. Dataset showing the raw (anonymized) data of intelligibility, quality and audiograms. These data allow complete reconstruction of figures in paper Dataset DOI assigned 10.5258/SOTON/D0020</span

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Dataset for Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners

Abstract

Extracted data

Dataset for Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners

Abstract

Extracted data

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