Speech Intelligibility for Cochlear Implant Users with the MMSE Noise-Reduction Time-Frequency Mask
Author:
Funder
Financiadora de Estudos e Projetos
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing
Reference59 articles.
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4. A deep denoising autoencoder approach to improving the intelligibility of vocoded speech in cochlear implant simulation;Lai;IEEE Trans. Biomed. Eng.,2017
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1. ElectrodeNet—A Deep-Learning-Based Sound Coding Strategy for Cochlear Implants;IEEE Transactions on Cognitive and Developmental Systems;2024-02
2. Microcontroller-based acquisition system for evoked otoacoustic emissions: Protocol and methodology;Biomedical Signal Processing and Control;2024-01
3. Experimental Investigation of Acoustic Features to Optimize Intelligibility in Cochlear Implants;Sensors;2023-08-31
4. An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants;IEEE Access;2023
5. Determination of Optimum Parameters for Cochlear Implants Speech Processors by Using Objective Measures;El-Cezeri Fen ve Mühendislik Dergisi;2021-12-14
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