A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions

Recently, deep learning based speech segregation has been shown to improve human speech intelligibility in noisy environments. However, one important factor not yet considered is room reverberation, which characterizes typical daily environments. The combination of reverberation and background noise...

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Veröffentlicht in:	The Journal of the Acoustical Society of America 2018-09, Vol.144 (3), p.1627-1637
Hauptverfasser:	Zhao, Yan, Wang, DeLiang, Johnson, Eric M., Healy, Eric W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Algorithms Deep Learning Female Hearing Aids Hearing Loss, Sensorineural - physiopathology Hearing Loss, Sensorineural - therapy Humans Male Middle Aged Noise - adverse effects Perceptual Masking - physiology Psychological and Physiological Acoustics Speech Intelligibility - physiology Young Adult
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