EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones

Research article (ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023) · cited 14× · AI/ML
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EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones

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EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones. Retrieved May 24, 2026, from https://4ort.xyz/entity/eben-extreme-bandwidth-extension-network-applied-to-speech-signals-captured-with-noise-resilient-body-conduction-microph
MLA “EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eben-extreme-bandwidth-extension-network-applied-to-speech-signals-captured-with-noise-resilient-body-conduction-microph.
BibTeX @misc{4ortxyz_eben-extreme-bandwidth-extension-network-applied-to-speech-signals-captured-with-noise-resilient-body-conduction-microph_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones}}, year = {2026}, url = {https://4ort.xyz/entity/eben-extreme-bandwidth-extension-network-applied-to-speech-signals-captured-with-noise-resilient-body-conduction-microph}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones — https://4ort.xyz/entity/eben-extreme-bandwidth-extension-network-applied-to-speech-signals-captured-with-noise-resilient-body-conduction-microph (retrieved 2026-05-24)

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