A Real-Time Convolutional Neural Network Based Speech Enhancement for Hearing Impaired Listeners Using Smartphone.

Bhat, Gautam S; Shankar, Nikhil; Reddy, Chandan K A; Panahi, Issa M S

Bhat, Gautam S; Shankar, Nikhil; Reddy, Chandan K A; Panahi, Issa M S.

Afiliação

Bhat GS; Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson TX-75080, USA.
Shankar N; Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson TX-75080, USA.
Reddy CKA; IC3-AI, Microsoft Corporation, Redmond, WA 98052, USA.
Panahi IMS; Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson TX-75080, USA.

IEEE Access ; 7: 78421-78433, 2019.

Article em En | MEDLINE | ID: mdl-32661495

Palavras-chave

Convolutional neural network (CNN); hearing aid (HA); log power spectra (LPS); real-time implementation; smartphone; speech enhancement (SE)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Access Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

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