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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1002/adma.201904020
|2 doi
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|a pubmed24n1007.xml
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|a (DE-627)NLM302237461
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|a (NLM)31617274
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Jung, Young Hoon
|e verfasserin
|4 aut
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|a Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing
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|c 2020
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 24.06.2021
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|a Date Revised 24.06.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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|a Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine learning software will play an innovative interface for artificial intelligence (AI) services. Collaboration and novel approaches between both smart sensors and speech algorithms should be attempted to realize a hyperconnected society, which can offer personalized services such as biometric authentication, AI secretaries, and home appliances. Here, representative developments in speech recognition are reviewed in terms of flexible piezoelectric materials, self-powered sensors, machine learning algorithms, and speaker recognition
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|a Journal Article
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|a Review
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|a acoustic sensors
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|a flexible piezoelectrics
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|a machine learning algorithm
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|a speech processing
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|a Hong, Seong Kwang
|e verfasserin
|4 aut
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1 |
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|a Wang, Hee Seung
|e verfasserin
|4 aut
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1 |
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|a Han, Jae Hyun
|e verfasserin
|4 aut
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1 |
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|a Pham, Trung Xuan
|e verfasserin
|4 aut
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1 |
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|a Park, Hyunsin
|e verfasserin
|4 aut
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1 |
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|a Kim, Junyeong
|e verfasserin
|4 aut
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1 |
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|a Kang, Sunghun
|e verfasserin
|4 aut
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1 |
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|a Yoo, Chang D
|e verfasserin
|4 aut
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|a Lee, Keon Jae
|e verfasserin
|4 aut
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773 |
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|i Enthalten in
|t Advanced materials (Deerfield Beach, Fla.)
|d 1998
|g 32(2020), 35 vom: 15. Sept., Seite e1904020
|w (DE-627)NLM098206397
|x 1521-4095
|7 nnns
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1 |
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|g volume:32
|g year:2020
|g number:35
|g day:15
|g month:09
|g pages:e1904020
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|u http://dx.doi.org/10.1002/adma.201904020
|3 Volltext
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|d 32
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