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Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing.

Young Hoon JungSeong Kwang HongHee Seung WangJae Hyun HanTrung Xuan PhamHyunsin ParkJunyeong KimSunghun KangChang D YooKeon Jae Lee
Published in: Advanced materials (Deerfield Beach, Fla.) (2019)
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.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • low cost
  • deep learning
  • healthcare
  • primary care
  • hearing loss
  • mental health
  • cross sectional
  • current status
  • data analysis