Evaluation of a Wind Noise Attenuation Algorithm on Subjective Annoyance and Speech-in-Wind Performance
Autor: | Eric Seper, Francis Kuk, Majken Roikjer, Petri Korhonen, Martin Mørkebjerg |
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Rok vydání: | 2017 |
Předmět: |
Adult
Male Hearing aid medicine.medical_specialty Speech perception Hearing loss Hearing Loss Sensorineural medicine.medical_treatment Pilot Projects Annoyance Wind Audiology 01 natural sciences Wind speed 03 medical and health sciences Speech and Hearing Hearing Aids 0302 clinical medicine 0103 physical sciences medicine Range (statistics) Humans Single-Blind Method 030223 otorhinolaryngology 010301 acoustics Aged Mathematics Aged 80 and over Reproducibility of Results Middle Aged medicine.disease Noise Patient Satisfaction Speech Perception Female Sensorineural hearing loss medicine.symptom Perceptual Masking Algorithm Algorithms |
Zdroj: | Journal of the American Academy of Audiology. 28:046-057 |
ISSN: | 2157-3107 1050-0545 |
DOI: | 10.3766/jaaa.15135 |
Popis: | Wind noise is a common problem reported by hearing aid wearers. The MarkeTrak VIII reported that 42% of hearing aid wearers are not satisfied with the performance of their hearing aids in situations where wind is present.The current study investigated the effect of a new wind noise attenuation (WNA) algorithm on subjective annoyance and speech recognition in the presence of wind.A single-blinded, repeated measures design was used.Fifteen experienced hearing aid wearers with bilaterally symmetrical (≤10 dB) mild-to-moderate sensorineural hearing loss participated in the study.Subjective rating for wind noise annoyance was measured for wind presented alone from 0° and 290° at wind speeds of 4, 5, 6, 7, and 10 m/sec. Phoneme identification performance was measured using Widex Office of Clinical Amplification Nonsense Syllable Test presented at 60, 65, 70, and 75 dB SPL from 270° in the presence of wind originating from 0° at a speed of 5 m/sec.The subjective annoyance from wind noise was reduced for wind originating from 0° at wind speeds from 4 to 7 m/sec. The largest improvement in phoneme identification with the WNA algorithm was 48.2% when speech was presented from 270° at 65 dB SPL and the wind originated from 0° azimuth at 5 m/sec.The WNA algorithm used in this study reduced subjective annoyance for wind speeds ranging from 4 to 7 m/sec. The algorithm was effective in improving speech identification in the presence of wind originating from 0° at 5 m/sec. These results suggest that the WNA algorithm used in the current study could expand the range of real-life situations where a hearing-impaired person can use the hearing aid optimally. |
Databáze: | OpenAIRE |
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