Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

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 fo...

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Published in:Advanced materials (Weinheim) Vol. 32; no. 35; pp. e1904020 - n/a
Main Authors: Jung, Young Hoon, Hong, Seong Kwang, Wang, Hee Seung, Han, Jae Hyun, Pham, Trung Xuan, Park, Hyunsin, Kim, Junyeong, Kang, Sunghun, Yoo, Chang D., Lee, Keon Jae
Format: Journal Article
Language:English
Published: Germany Wiley Subscription Services, Inc 01.09.2020
Subjects:
acoustic sensors
Acoustics
Algorithms
Artificial intelligence
flexible piezoelectrics
Household appliances
Machine learning
machine learning algorithm
Materials science
Piezoelectricity
Sensors
Smart sensors
Speech processing
Speech recognition
Voice recognition
speech processing
acoustic sensors
flexible piezoelectrics
machine learning algorithm
ISSN:0935-9648, 1521-4095, 1521-4095
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Abstract 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. Flexible piezoelectric acoustic sensors and machine learning for speech processing can change the paradigm of voice technologies for the hyperconnected society, offering personalized intelligent services such as biometric authentication, AI secretaries, and Internet‐of‐Things (IoT) appliances. The recent advances in the fields of self‐powered flexible acoustic sensors and machine learning algorithms for speech recognition are comprehensively summarized.
AbstractList 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.
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.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.
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. Flexible piezoelectric acoustic sensors and machine learning for speech processing can change the paradigm of voice technologies for the hyperconnected society, offering personalized intelligent services such as biometric authentication, AI secretaries, and Internet‐of‐Things (IoT) appliances. The recent advances in the fields of self‐powered flexible acoustic sensors and machine learning algorithms for speech recognition are comprehensively summarized.
Author Pham, Trung Xuan
Park, Hyunsin
Kang, Sunghun
Hong, Seong Kwang
Kim, Junyeong
Yoo, Chang D.
Wang, Hee Seung
Han, Jae Hyun
Jung, Young Hoon
Lee, Keon Jae
Author_xml – sequence: 1
  givenname: Young Hoon
  surname: Jung
  fullname: Jung, Young Hoon
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 2
  givenname: Seong Kwang
  surname: Hong
  fullname: Hong, Seong Kwang
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 3
  givenname: Hee Seung
  surname: Wang
  fullname: Wang, Hee Seung
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 4
  givenname: Jae Hyun
  surname: Han
  fullname: Han, Jae Hyun
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 5
  givenname: Trung Xuan
  surname: Pham
  fullname: Pham, Trung Xuan
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 6
  givenname: Hyunsin
  surname: Park
  fullname: Park, Hyunsin
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 7
  givenname: Junyeong
  surname: Kim
  fullname: Kim, Junyeong
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 8
  givenname: Sunghun
  surname: Kang
  fullname: Kang, Sunghun
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 9
  givenname: Chang D.
  surname: Yoo
  fullname: Yoo, Chang D.
  organization: Korea Advanced Institute of Science and Technology (KAIST)
– sequence: 10
  givenname: Keon Jae
  orcidid: 0000-0001-7500-3079
  surname: Lee
  fullname: Lee, Keon Jae
  email: keonlee@kaist.ac.kr
  organization: Korea Advanced Institute of Science and Technology (KAIST)
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31617274$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright 2019 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim
2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
2020 Wiley‐VCH GmbH
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Keywords speech processing
acoustic sensors
flexible piezoelectrics
machine learning algorithm
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Snippet Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice...
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StartPage e1904020
SubjectTerms acoustic sensors
Acoustics
Algorithms
Artificial intelligence
flexible piezoelectrics
Household appliances
Machine learning
machine learning algorithm
Materials science
Piezoelectricity
Sensors
Smart sensors
Speech processing
Speech recognition
Voice recognition
Title Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fadma.201904020
https://www.ncbi.nlm.nih.gov/pubmed/31617274
https://www.proquest.com/docview/2438870199
https://www.proquest.com/docview/2306222677
Volume 32
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