ArticleThe Journal of the Acoustical Society of America2023
Extending the Hearing-Aid Speech Perception Index (HASPI): Keywords, sentences, and context.
Article in The Journal of the Acoustical Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Binaural speech intelligibility for combinations of noise, reverberation, and hearing-aid signal processing.PloS one · 2025Article
- An algorithm to increase speech intelligibility for hearing-impaired listeners in novel segments of the same noise type.The Journal of the Acoustical Society of America · 2015Article
- The role of metrics in studies of hearing and cognition.ENT & audiology newsArticle
- A Binaural Front End for Speech Intelligibility Models: Application to the Hearing-Aid Speech Perception Index (HASPI).Trends in hearingArticle
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1 author.
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Abstract
The Hearing-Aid Speech Perception Index version 2 (HASPI v2) is a speech intelligibility metric derived by fitting subject responses scored as the proportion of complete sentences correct. This paper presents an extension of HASPI v2, denoted by HASPI w2, which predicts proportion keywords correct for the same datasets used to derive HASPI v2. The results show that the accuracy of HASPI w2 is nearly identical to that of HASPI v2. The values produced by HASPI w2 and HASPI v2 also allow the comparison of proportion words correct and sentences correct for the same stimuli. Using simulation values for speech in additive noise, a model of context effects for words combined into sentences is developed and accounts for the loss of intelligibility inherent in the impaired auditory periphery. In addition, HASPI w2 and HASPI v2 have a small bias term at poor signal-to-noise ratios; the model for context effects shows that the residual bias is reduced in converting from proportion keywords to sentences correct but is greatly magnified when considering the reverse transformation.
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