HASA-Net: A Non-Intrusive Hearing-Aid Speech Assessment Network
Author:
Affiliation:
1. Research Center for Information Technology Innovation, Academia Sinica,Taiwan
2. Information Technology Center, Nagoya University,Japan
3. Institute of Information Science, Academia Sinica,Taiwan
4. University of Illinois at Urbana-Champaign,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9687821/9687855/09687972.pdf?arnumber=9687972
Reference33 articles.
1. Using Objective Metrics to Measure Hearing Aid Performance
2. Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude;tieleman;COURSERA Neural Networks for Machine Learning,2012
3. The National Acoustic Laboratoriesʼ (NAL) New Procedure for Selecting the Gain and Frequency Response of a Hearing Aid
4. Classification of Hearing Loss
5. A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech
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1. A Non-Invasive Speech Quality Evaluation Algorithm for Hearing Aids With Multi-Head Self-Attention and Audiogram-Based Features;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
2. Monaural speech separation using WT-Conv-TasNet for hearing aids;International Journal of Speech Technology;2023-09
3. A no-reference speech quality assessment method based on neural network with densely connected convolutional architecture;INTERSPEECH 2023;2023-08-20
4. A Non-Intrusive speech quality evaluation algorithm for hearing aids via an auxiliary training task;Applied Acoustics;2023-04
5. Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP;2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2022-10
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