Demo Abstract: 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

Demo Abstract: 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 de Lausanne (EPFL), Switzerland and Logitech Europe, Switzerland

3. Logitech Europe, Logitech Europe, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576842.3589166

Reference7 articles.

1. 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

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

3. SE2: Going Remote: Challenges and Opportunities to Remote Learning, Work, and Collaboration

4. Tommaso Polonelli , Andrea Bentivogli , Guido Comai , and Michele Magno . 2022 . Self-sustainable IoT Wireless Sensor Node for Predictive Maintenance on Electric Motors. In 2022 IEEE Sensors Applications Symposium (SAS). 1–6. https://doi.org/10 .1109/SAS54819.2022.9881349 10.1109/SAS54819.2022.9881349 Tommaso Polonelli, Andrea Bentivogli, Guido Comai, and Michele Magno. 2022. Self-sustainable IoT Wireless Sensor Node for Predictive Maintenance on Electric Motors. In 2022 IEEE Sensors Applications Symposium (SAS). 1–6. https://doi.org/10.1109/SAS54819.2022.9881349

5. A review on TinyML: State-of-the-art and prospects

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