Low Latency Speech Enhancement for Hearing Aids Using Deep Filtering

Author:

Schroter Hendrik1ORCID,Rosenkranz Tobias2,Escalante-B Alberto-N.2,Maier Andreas1ORCID

Affiliation:

1. Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany

2. Sivantos GmbH, Erlangen, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Reference81 articles.

1. Two-Stage Filter-Bank System for Improved Single-Channel Noise Reduction in Hearing Aids

2. Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement

3. LPCNET: Improving Neural Speech Synthesis through Linear Prediction

4. High-quality, low-delay music coding in the opus codec;valin,2016

5. Common phone: A multilingual dataset for robust acoustic modelling;klumpp;Proc 13th Lang Resour Eval Conf,0

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1. Speech Enhancement with Background Noise Suppression in Various Data Corpus Using Bi-LSTM Algorithm;International Journal of Electrical and Electronics Research;2024-03-28

2. Recalling-Enhanced Recurrent Neural Network optimized with Chimp Optimization Algorithm based speech enhancement for hearing aids;Intelligent Decision Technologies;2024-02-20

3. 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

4. Single‐Channel Noise Reduction;Digital Speech Transmission and Enhancement;2023-11-24

5. SEFGAN: Harvesting the Power of Normalizing Flows and GANs for Efficient High-Quality Speech Enhancement;2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA);2023-10-22

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