Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing-Reference-Cited by-同舟云学术

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Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Published:2019-10-16 Issue:35 Volume:32 Page:1904020
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Adv. Mater.

Author:

Jung Young Hoon¹,Hong Seong Kwang¹,Wang Hee Seung¹,Han Jae Hyun¹,Pham Trung Xuan²,Park Hyunsin²,Kim Junyeong²,Kang Sunghun²,Yoo Chang D.²,Lee Keon Jae¹^ORCID

Affiliation:

1. Department of Materials Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of Korea

2. Department of Electrical EngineeringKorea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.201904020

Reference234 articles.

1. Speech Recognition with Primarily Temporal Cues

2. "Who" Is Saying "What"? Brain-Based Decoding of Human Voice and Speech

3. Machine learning-based self-powered acoustic sensor for speaker recognition

4. Human–Machine Reconfigurations

5. Integration and Multiculturalism: Focus on Western Europe

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