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Noise-Robust Hearing Aid Voice Control

[PDF] Paper.pdf (929.2Kb)
Identificadores
URI: https://hdl.handle.net/10481/97890
DOI: 10.48550/arXiv.2411.03150
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Autor
López Espejo, Iván; Roselló, Eros; Edraki, Amin; Harte, Naomi; Jensen, Jesper
Editorial
IEEE
Materia
Hearing aid
 
Voice control
 
Keyword spotting
 
Noise robustness
 
Bone-conducted speech
 
Fecha
2024-12-09
Referencia bibliográfica
Published version: López Espejo, Iván et al. Noise-Robust Hearing Aid Voice Control. IEEE Signal Processing Letters. DOI:10.48550/arXiv.2411.03150
Patrocinador
Spanish Ministry of Science and Innovation, “Ramón y Cajal” (RYC2022-036755-I)
Resumen
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 mod- els 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.
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