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R&D Program of Zhejiang","award":["2025C02044"],"award-info":[{"award-number":["2025C02044"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2026,6,15]]},"abstract":"<jats:p>\n                    To enhance the speech clarity in earable voice interaction scenarios, dual-microphone speech enhancement (SE) techniques with collaboration of in-ear and out-ear microphones have garnered significant attention from the research community. Nevertheless, existing dual-microphone SE techniques are established on a strong assumption:\n                    <jats:italic toggle=\"yes\">high-quality in-ear speech (auxiliary modality) could provide efficient complementary information to target airborne speech (primary modality)<\/jats:italic>\n                    , which decreases the adaptation in the real world. In our work, we explore a key observation that air pressure imbalance caused by ear canal deformation (ECD) adversely affects the quality of in-ear speech, subsequently leading to a significant degradation in speech enhancement performance. To address this bottleneck issue, we design an efficient quality-aware speech enhancement solution, named QuaSE, which efficiently and dynamically fuses complementary information by assessing the quality variations of in-ear speech. Additionally, based on the analysis of spectral distortion induced by ECD, a training strategy including quality-aware data selection and content-aware augmentation is designed to improve the generalization capability of QuaSE. Extensive experiments demonstrate that QuaSE outperforms state-of-the-art techniques by 6.27%, 4.54%, 14.90%, and 11.93% in terms of PESQ, STOI, SI-SDR, and SegSNR. Moreover, we also validate that the proposed quality-aware fusion strategy can be modularly integrated into other sensing tasks, improving the fusion performance.\n                  <\/jats:p>","DOI":"10.1145\/3810214","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:06:41Z","timestamp":1781543201000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring and Addressing Low-Quality Auxiliary Modality in Earable Dual-microphone Speech Enhancement"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7555-1232","authenticated-orcid":false,"given":"Feiyu","family":"Han","sequence":"first","affiliation":[{"name":"Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9848-3017","authenticated-orcid":false,"given":"Dawei","family":"Yan","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China and Hebei University, Baoding, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5453-7379","authenticated-orcid":false,"given":"Shanyue","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, The Hong Kong Polytechnic University, Hong Kong, China and Beihang University Hangzhou Innovation Institute, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5483-2812","authenticated-orcid":false,"given":"Jinyang","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer and Information and Key Laboratory of Knowledge Engineering with Big Data\/ Hefei University of Technology\/ S2AC Laboratory, Hefei University of Technology, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3969-9472","authenticated-orcid":false,"given":"Yuanhao","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China, The University of Electro-Communications, Tokyo, Japan and Deqing Alpha Innovation Research Institute, Huzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1057-2793","authenticated-orcid":false,"given":"Panlong","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and the School of Cyber Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341163.3347747"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3126594.3126649"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683175"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488852"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1121\/10.0001237"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3498361.3538933"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10094858"},{"key":"e_1_2_1_9_1","volume-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention. 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