Speech Intelligibility Prediction for Hearing Aids Using an Auditory Model and Acoustic Parameters-Reference-Cited by-同舟云学术

Speech Intelligibility Prediction for Hearing Aids Using an Auditory Model and Acoustic Parameters

Published:2022-11-07 Issue: Volume: Page:
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Container-title:2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Titalim Benita Angela¹,Mawalim Candy Olivia¹,Okada Shogo¹,Unoki Masashi¹

Affiliation:

1. Japan Advanced Institute of Science and Technology,Ishikawa,Japan,923–1292

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979726/9979808/09980000.pdf?arnumber=9980000

Reference42 articles.

1. Assessing Real-Life Benefit From Hearing-Aid Noise Management: SSQ12 Questionnaire Versus Ecological Momentary Assessment With Acoustic Data-Logging;andersson;American Journal of Audiology,2020

2. Proposed norms for the Glas-gow hearing-aid benefit profile (GHABP) questionnaire;whitmer;International Journal of Audiology,2014

3. The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing;eyben;IEEE Transactions on Affective Computing,2015

4. WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

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1. Non-intrusive speech intelligibility prediction using an auditory periphery model with hearing loss;Applied Acoustics;2023-11

2. Auditory Model Optimization with Wavegram-CNN and Acoustic Parameter Models for Nonintrusive Speech Intelligibility Prediction in Hearing Aids;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04