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Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing
- Source :
- Advanced Materials. 32:1904020
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
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.
- Subjects :
- Materials science
Biometrics
Interface (computing)
02 engineering and technology
010402 general chemistry
Machine learning
computer.software_genre
01 natural sciences
Machine Learning
Software
Electricity
Humans
Speech
General Materials Science
Sensitivity (control systems)
Mechanical Phenomena
business.industry
Mechanical Engineering
Signal Processing, Computer-Assisted
Acoustics
021001 nanoscience & nanotechnology
Speaker recognition
Speech processing
Piezoelectricity
0104 chemical sciences
Mechanics of Materials
Artificial intelligence
0210 nano-technology
business
computer
Subjects
Details
- ISSN :
- 15214095 and 09359648
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Advanced Materials
- Accession number :
- edsair.doi.dedup.....db4bfaa99691950d265bcdacee348135
- Full Text :
- https://doi.org/10.1002/adma.201904020