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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| Veröffentlicht in: | Advanced materials (Weinheim) 2020-09, Vol.32 (35), p.e1904020-n/a |
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| creator | 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 |
| description | 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. |
| doi_str_mv | 10.1002/adma.201904020 |
| format | Article |
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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.</description><identifier>ISSN: 0935-9648</identifier><identifier>EISSN: 1521-4095</identifier><identifier>DOI: 10.1002/adma.201904020</identifier><identifier>PMID: 31617274</identifier><language>eng</language><publisher>Germany: Wiley Subscription Services, Inc</publisher><subject>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</subject><ispartof>Advanced materials (Weinheim), 2020-09, Vol.32 (35), p.e1904020-n/a</ispartof><rights>2019 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim</rights><rights>2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.</rights><rights>2020 Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4390-758f40fb33f2795079ec2fe73d8bcbc86f60c71e463704ca64f04cec18fed8d73</citedby><cites>FETCH-LOGICAL-c4390-758f40fb33f2795079ec2fe73d8bcbc86f60c71e463704ca64f04cec18fed8d73</cites><orcidid>0000-0001-7500-3079</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fadma.201904020$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fadma.201904020$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31617274$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jung, Young Hoon</creatorcontrib><creatorcontrib>Hong, Seong Kwang</creatorcontrib><creatorcontrib>Wang, Hee Seung</creatorcontrib><creatorcontrib>Han, Jae Hyun</creatorcontrib><creatorcontrib>Pham, Trung Xuan</creatorcontrib><creatorcontrib>Park, Hyunsin</creatorcontrib><creatorcontrib>Kim, Junyeong</creatorcontrib><creatorcontrib>Kang, Sunghun</creatorcontrib><creatorcontrib>Yoo, Chang D.</creatorcontrib><creatorcontrib>Lee, Keon Jae</creatorcontrib><title>Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing</title><title>Advanced materials (Weinheim)</title><addtitle>Adv Mater</addtitle><description>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.</description><subject>acoustic sensors</subject><subject>Acoustics</subject><subject>Algorithms</subject><subject>Artificial intelligence</subject><subject>flexible piezoelectrics</subject><subject>Household appliances</subject><subject>Machine learning</subject><subject>machine learning algorithm</subject><subject>Materials science</subject><subject>Piezoelectricity</subject><subject>Sensors</subject><subject>Smart sensors</subject><subject>Speech processing</subject><subject>Speech recognition</subject><subject>Voice recognition</subject><issn>0935-9648</issn><issn>1521-4095</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkMtLAzEQh4MoWh9Xj7LgxcvWyWOTzbGoVaGi-DiHbHaiK9vdmrT4-OtNqQ_w4uk3DN_8GD5C9ikMKQA7tvXUDhlQDQIYrJEBLRjNBehinQxA8yLXUpRbZDvGZwDQEuQm2eJUUsWUGJDbcYtvTdVidtPgR48tunloXDZy_SLO03CHXexDzGxXZ1fWPTUdZhO0oWu6x8z3IbubIbqn7Cb0DmNM212y4W0bce8rd8jD-Oz-5CKfXJ9fnowmuRNcQ66K0gvwFeeeKV2A0uiYR8XrsnKVK6WX4BRFIbkC4awUPgU6Wnqsy1rxHXK06p2F_mWBcW6mTXTYtrbD9LxhHCRjTKolevgHfe4XoUvfGSZ4WaokUCdquKJc6GMM6M0sNFMb3g0Fs7RtlrbNj-10cPBVu6imWP_g33oToFfAa9Pi-z91ZnR6Nfot_wT1NYru</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Jung, Young Hoon</creator><creator>Hong, Seong Kwang</creator><creator>Wang, Hee Seung</creator><creator>Han, Jae Hyun</creator><creator>Pham, Trung Xuan</creator><creator>Park, Hyunsin</creator><creator>Kim, Junyeong</creator><creator>Kang, Sunghun</creator><creator>Yoo, Chang D.</creator><creator>Lee, Keon Jae</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7500-3079</orcidid></search><sort><creationdate>20200901</creationdate><title>Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4390-758f40fb33f2795079ec2fe73d8bcbc86f60c71e463704ca64f04cec18fed8d73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>acoustic sensors</topic><topic>Acoustics</topic><topic>Algorithms</topic><topic>Artificial intelligence</topic><topic>flexible piezoelectrics</topic><topic>Household appliances</topic><topic>Machine learning</topic><topic>machine learning algorithm</topic><topic>Materials science</topic><topic>Piezoelectricity</topic><topic>Sensors</topic><topic>Smart sensors</topic><topic>Speech processing</topic><topic>Speech recognition</topic><topic>Voice recognition</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jung, Young Hoon</creatorcontrib><creatorcontrib>Hong, Seong Kwang</creatorcontrib><creatorcontrib>Wang, Hee Seung</creatorcontrib><creatorcontrib>Han, Jae Hyun</creatorcontrib><creatorcontrib>Pham, Trung Xuan</creatorcontrib><creatorcontrib>Park, Hyunsin</creatorcontrib><creatorcontrib>Kim, Junyeong</creatorcontrib><creatorcontrib>Kang, Sunghun</creatorcontrib><creatorcontrib>Yoo, Chang D.</creatorcontrib><creatorcontrib>Lee, Keon Jae</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>MEDLINE - Academic</collection><jtitle>Advanced materials (Weinheim)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jung, Young Hoon</au><au>Hong, Seong Kwang</au><au>Wang, Hee Seung</au><au>Han, Jae Hyun</au><au>Pham, Trung Xuan</au><au>Park, Hyunsin</au><au>Kim, Junyeong</au><au>Kang, Sunghun</au><au>Yoo, Chang D.</au><au>Lee, Keon Jae</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing</atitle><jtitle>Advanced materials (Weinheim)</jtitle><addtitle>Adv Mater</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>32</volume><issue>35</issue><spage>e1904020</spage><epage>n/a</epage><pages>e1904020-n/a</pages><issn>0935-9648</issn><eissn>1521-4095</eissn><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.</abstract><cop>Germany</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31617274</pmid><doi>10.1002/adma.201904020</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-7500-3079</orcidid></addata></record> |
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| 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 |
| title | Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing |
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