In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms-Reference-Cited by-同舟云学术

In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms

Published:2023-05-09 Issue: Volume: Page:
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Container-title:Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation
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Author:

Schilk Philipp¹^ORCID,Polvani Niccolò²^ORCID,Ronco Andrea¹^ORCID,Cernak Milos³^ORCID,Magno Michele¹^ORCID

Affiliation:

1. Eidgenössische Technische Hochschule Zürich (ETHZ), Switzerland

2. École Polytechnique Fédérale Lausanne (EPFL), Switzerland and Logitech Europe, Switzerland

3. Logitech Europe, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576842.3582365

Reference57 articles.

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2. Sebastian Braun and Ivan Tashev. 2021. On training targets for noise-robust voice activity detection. (2021). https://doi.org/10.48550/ARXIV.2102.07445 10.48550/ARXIV.2102.07445

3. Sebastian Braun and Ivan Tashev. 2021. On training targets for noise-robust voice activity detection. (2021). https://doi.org/10.48550/ARXIV.2102.07445

4. Christophe Chevallier. 2015. Low power design: Ramping to production. In 2015 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S). 1-4. https://doi.org/10.1109/S3S.2015.7333548 10.1109/S3S.2015.7333548

5. Christophe Chevallier. 2015. Low power design: Ramping to production. In 2015 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S). 1-4. https://doi.org/10.1109/S3S.2015.7333548

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