Predicting Speech Perception in Older Listeners with Sensorineural Hearing Loss Using Automatic Speech Recognition-Reference-Cited by-同舟云学术

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Predicting Speech Perception in Older Listeners with Sensorineural Hearing Loss Using Automatic Speech Recognition

Published:2020-01 Issue: Volume:24 Page:233121652091476
ISSN:2331-2165
Container-title:Trends in Hearing
language:en
Short-container-title:Trends in Hearing

Author:

Fontan Lionel¹^ORCID,Cretin-Maitenaz Tom²³,Füllgrabe Christian⁴^ORCID

Affiliation:

1. Archean LABS, Montauban, France

2. Service d’Oto-Rhino-Laryngologie, d’Oto-Neurologie et d’ORL Pédiatrique, Centre Hospitalier Universitaire de Toulouse, France

3. Ecole d’Audioprothèse de Cahors, Université Paul Sabatier Toulouse III, France

4. School of Sport, Exercise and Health Sciences, Loughborough University, UK

Funder

Institute of Advanced Studies

Publisher

SAGE Publications

Subject

Speech and Hearing,Otorhinolaryngology

Link

http://journals.sagepub.com/doi/pdf/10.1177/2331216520914769

Reference74 articles.

1. Reliability of Categorical Loudness Scaling and Its Relation to Threshold

2. Effects of spectral smearing on the intelligibility of sentences in noise

3. Emergence of a powerful connection between sensory and cognitive functions across the adult life span: A new window to the study of cognitive aging?

4. Modelling speaker intelligibility in noise

5. Cognitive Impairment and Mortality in the Community-dwelling Elderly

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1. Multilingual non-intrusive binaural intelligibility prediction based on phone classification;Computer Speech & Language;2025-01

2. Data-Driven Non-Intrusive Speech Intelligibility Prediction Using Speech Presence Probability;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

3. Raspberry Pi-based robust speech command recognition for normal and hearing-impaired (HI);Multimedia Tools and Applications;2023-11-14

4. Multilingual Non-intrusive Binaural Intelligibility Prediction based on Phone Classification;SSRN Electronic Journal;2023

5. ASR-based speech intelligibility prediction: A review;Hearing Research;2022-12

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