Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Cited 186 time in webofscience Cited 102 time in scopus
  • Hit : 349
  • Download : 0
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.
Publisher
WILEY-V C H VERLAG GMBH
Issue Date
2020-09
Language
English
Article Type
Article
Citation

ADVANCED MATERIALS, v.32, no.35, pp.1904020

ISSN
0935-9648
DOI
10.1002/adma.201904020
URI
http://hdl.handle.net/10203/279569
Appears in Collection
EE-Journal Papers(저널논문)MS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 186 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0