Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation. [PDF]
Sensors (Basel), 2022 Chen J, Liu C, Xie J, An J, Huang N.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Power Transformer Voltages Classification with Acoustic Signal in Various Noisy Environments. [PDF]
Sensors (Basel), 2022 Kim M, Lee S.
europepmc +1 more source
Holographic acoustic-signal authenticator
Photonics ResearchMost optical information processors deal with text or image data, and it is very difficult to deal experimentally with acoustic data. Therefore, optical advances that deal with acoustic data are highly desirable in this area. In particular, the development of a voice or acoustic-signal authentication technique using optical correlation can open a new ...
Sudheesh K. Rajput +5 more
openaire +1 more source
Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook
Advanced Materials Technologies, EarlyView.A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi +12 more
wiley +1 more source
Voice Conversion Based on Hybrid SVR and GMM
Archives of Acoustics, 2013 A novel VC (voice conversion) method based on hybrid SVR (support vector regression) and GMM (Gaussian mixture model) is presented in the paper, the mapping abilities of SVR and GMM are exploited to map the spectral features of the source speaker to ...
Peng SONG, Yun JIN, Li ZHAO, Cairong ZOU
doaj
Underwater Acoustic Signal Detection Using Calibrated Hidden Markov Model with Multiple Measurements. [PDF]
Sensors (Basel), 2022 You H, Byun SH, Choo Y.
europepmc +1 more source
A study of the use of vibration and stress wave sensing for the detection of bearing failure [PDF]
Results from an experimental study of vibrations and stress waves emitted from ball bearings are presented. Fatique tests were run with both high quality bearings and man faulted bearings, all of one size.
Ensor, L. C., Feng, C. C.
core +1 more source
Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges
Advanced Materials Technologies, EarlyView.This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz +2 more
wiley +1 more source
Spectral Mapping Using Kernel Principal Components Regression for Voice Conversion
Archives of Acoustics, 2013 The Gaussian mixture model (GMM) method is popular and efficient for voice conversion (VC), but it is often subject to overfitting. In this paper, the principal component regression (PCR) method is adopted for the spectral mapping between source speech ...
Peng SONG, Li ZHAO, Yongqiang BAO
doaj