Suchergebnisse - "deep denoising autoencoder (DDAE)"
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A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise
Veröffentlicht: IEEE 01.12.2017Veröffentlicht in APSIPA ASC 2017 : proceedings, ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference : 12-15 December 2017, Kuala Lumpur, Malaysia (01.12.2017)“… The deep denoising autoencoder (DDAE) model was used as a representative deep-learning-based NR model to reduce the noise components from the noisy input …”
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