Noise-Robust Hearing Aid Voice Control
Advancing the design of robust hearing aid (HA) voice control is crucial to increase the HA use rate among hard of hearing people as well as to improve HA users' experience. In this work, we contribute towards this goal by, first, presenting a novel HA speech dataset consisting of noisy own voi...
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| creator | López-Espejo, Iván Roselló, Eros Edraki, Amin Harte, Naomi Jensen, Jesper |
| description | Advancing the design of robust hearing aid (HA) voice control is crucial to
increase the HA use rate among hard of hearing people as well as to improve HA
users' experience. In this work, we contribute towards this goal by, first,
presenting a novel HA speech dataset consisting of noisy own voice captured by
2 behind-the-ear (BTE) and 1 in-ear-canal (IEC) microphones. Second, we provide
baseline HA voice control results from the evaluation of light,
state-of-the-art keyword spotting models utilizing different combinations of HA
microphone signals. Experimental results show the benefits of exploiting
bandwidth-limited bone-conducted speech (BCS) from the IEC microphone to
achieve noise-robust HA voice control. Furthermore, results also demonstrate
that voice control performance can be boosted by assisting BCS by the
broader-bandwidth BTE microphone signals. Aiming at setting a baseline upon
which the scientific community can continue to progress, the HA noisy speech
dataset has been made publicly available. |
| doi_str_mv | 10.48550/arxiv.2411.03150 |
| format | Article |
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increase the HA use rate among hard of hearing people as well as to improve HA
users' experience. In this work, we contribute towards this goal by, first,
presenting a novel HA speech dataset consisting of noisy own voice captured by
2 behind-the-ear (BTE) and 1 in-ear-canal (IEC) microphones. Second, we provide
baseline HA voice control results from the evaluation of light,
state-of-the-art keyword spotting models utilizing different combinations of HA
microphone signals. Experimental results show the benefits of exploiting
bandwidth-limited bone-conducted speech (BCS) from the IEC microphone to
achieve noise-robust HA voice control. Furthermore, results also demonstrate
that voice control performance can be boosted by assisting BCS by the
broader-bandwidth BTE microphone signals. Aiming at setting a baseline upon
which the scientific community can continue to progress, the HA noisy speech
dataset has been made publicly available.</description><identifier>DOI: 10.48550/arxiv.2411.03150</identifier><language>eng</language><creationdate>2024-11</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2411.03150$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2411.03150$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>López-Espejo, Iván</creatorcontrib><creatorcontrib>Roselló, Eros</creatorcontrib><creatorcontrib>Edraki, Amin</creatorcontrib><creatorcontrib>Harte, Naomi</creatorcontrib><creatorcontrib>Jensen, Jesper</creatorcontrib><title>Noise-Robust Hearing Aid Voice Control</title><description>Advancing the design of robust hearing aid (HA) voice control is crucial to
increase the HA use rate among hard of hearing people as well as to improve HA
users' experience. In this work, we contribute towards this goal by, first,
presenting a novel HA speech dataset consisting of noisy own voice captured by
2 behind-the-ear (BTE) and 1 in-ear-canal (IEC) microphones. Second, we provide
baseline HA voice control results from the evaluation of light,
state-of-the-art keyword spotting models utilizing different combinations of HA
microphone signals. Experimental results show the benefits of exploiting
bandwidth-limited bone-conducted speech (BCS) from the IEC microphone to
achieve noise-robust HA voice control. Furthermore, results also demonstrate
that voice control performance can be boosted by assisting BCS by the
broader-bandwidth BTE microphone signals. Aiming at setting a baseline upon
which the scientific community can continue to progress, the HA noisy speech
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increase the HA use rate among hard of hearing people as well as to improve HA
users' experience. In this work, we contribute towards this goal by, first,
presenting a novel HA speech dataset consisting of noisy own voice captured by
2 behind-the-ear (BTE) and 1 in-ear-canal (IEC) microphones. Second, we provide
baseline HA voice control results from the evaluation of light,
state-of-the-art keyword spotting models utilizing different combinations of HA
microphone signals. Experimental results show the benefits of exploiting
bandwidth-limited bone-conducted speech (BCS) from the IEC microphone to
achieve noise-robust HA voice control. Furthermore, results also demonstrate
that voice control performance can be boosted by assisting BCS by the
broader-bandwidth BTE microphone signals. Aiming at setting a baseline upon
which the scientific community can continue to progress, the HA noisy speech
dataset has been made publicly available.</abstract><doi>10.48550/arxiv.2411.03150</doi><oa>free_for_read</oa></addata></record> |
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| title | Noise-Robust Hearing Aid Voice Control |
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