2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2019
DOI: 10.1109/aicas.2019.8771631
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A 2.17mW Acoustic DSP Processor with CNN-FFT Accelerators for Intelligent Hearing Aided Devices

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Cited by 4 publications
(3 citation statements)
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“…A recent paper on DNN in hearing aids was by Park et al [6a] where they found that the DNN could cancel noise by classifying the incoming noise based on its type, thereby providing better speech quality compared to normal hearing aid algorithms. Another article by Lee et al [7] compared two AI technology algorithms in hearing aids, one a DNN and another a convolution neural network (CNN). Their findings were that the CNN outperformed the DNN in terms of its speech enhancement strategy [7].…”
Section: Resultsmentioning
confidence: 99%
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“…A recent paper on DNN in hearing aids was by Park et al [6a] where they found that the DNN could cancel noise by classifying the incoming noise based on its type, thereby providing better speech quality compared to normal hearing aid algorithms. Another article by Lee et al [7] compared two AI technology algorithms in hearing aids, one a DNN and another a convolution neural network (CNN). Their findings were that the CNN outperformed the DNN in terms of its speech enhancement strategy [7].…”
Section: Resultsmentioning
confidence: 99%
“…Another article by Lee et al [7] compared two AI technology algorithms in hearing aids, one a DNN and another a convolution neural network (CNN). Their findings were that the CNN outperformed the DNN in terms of its speech enhancement strategy [7]. There have been other works documenting the utility of DNN algorithms in separating speech and noise and allowing speech to be emphasised [18].…”
Section: Resultsmentioning
confidence: 99%
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