Results 91 to 100 of about 559,293 (328)

Study on weak sound signal separation and pattern recognition under strong background noise in marine engineering

Journal of Low Frequency Noise, Vibration and Active Control
The extraction of weak acoustic signals under strong background noise is of great significance in the applications of target identification and localization.
Song Liu, Jiantong Gao, Huayu Zhou, Kang Yang, Panpan Liu, Yifan Du   +5 more
doaj   +1 more source

Application of SCA-VMD in Noise Reduction of Transformer Sound Signal

发电技术, 2020
A method based on sparse component analysis-variational modal decomposition (SCA-VMD) was proposed to separate transformer operation sound signal and reduce noise.
Hao WU, Jun CHAI, Shuai AN, Shu XIA
doaj   +1 more source

Head‐related transfer function–reserved time‐frequency masking for robust binaural sound source localization

CAAI Transactions on Intelligence Technology, 2022
Various time‐frequency (T‐F) masks are being applied to sound source localization tasks. Moreover, deep learning has dramatically advanced T‐F mask estimation. However, existing masks are usually designed for speech separation tasks and are suitable only
Hong Liu, Peipei Yuan, Bing Yang, Ge Yang, Yang Chen   +4 more
doaj   +1 more source

Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review

Advanced Healthcare Materials, EarlyView.
Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro, Mario González‐Quintas, Mónica Fernández‐Arias, Jesús del Val, Félix Quintero, Rafael Comesaña, Fernando Lusquiños, Julian R. Jones, Juan Pou   +8 more
wiley   +1 more source

EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing

IEEE Access
The ability to identify specific sounds in noisy environments can be improved by incorporating visual information through audio-visual integration, leveraging visual cues such as lip reading and sound-producing object recognition.
Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won   +3 more
doaj   +1 more source

Robust Sounds of Activities of Daily Living Classification in Two-Channel Audio-Based Telemonitoring

International Journal of Telemedicine and Applications, 2013
Despite recent advances in the area of home telemonitoring, the challenge of automatically detecting the sound signatures of activities of daily living of an elderly patient using nonintrusive and reliable methods remains.
David Maunder, Julien Epps, Eliathamby Ambikairajah, Branko Celler   +3 more
doaj   +1 more source

End-to-end Sound Source Separation Conditioned on Instrument Labels [PDF]

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Can we perform an end-to-end music source separation with a variable number of sources using a deep learning model? We present an extension of the Wave-U-Net model which allows end-to-end monaural source separation with a non-fixed number of sources.
Olga Slizovskaia, Leo Kim, Gloria Haro, Emilia Gómez   +3 more
openaire   +3 more sources

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi, Naseeh Backer Kannanthodi, Alice Nicole Casling, Babar Ali, Samira Lakouraj Mansouri, Alessandro Giuseppe D'aloia, Hossein Cheraghi Bidsorkhi, Maria Sabrina Sarto   +7 more
wiley   +1 more source

CONVOLUTIONAL NEURAL NETWORK-BASED SOUND SOURCE SEPARATION IN THE TIME-FREQUENCY DOMAIN

Компютерні системи та інформаційні технології
This paper addresses the problem of sound source separation in mixed audio signals in the time-frequency domain. The study considers the application of convolutional neural networks for isolating individual acoustic components from complex audio ...
Олег ТОМАШЕВСЬКИЙ, Орест ТКАЧУК   +1 more
doaj   +1 more source

Binaural conversion of monaural music recordings using head-related impulse responses [PDF]

JASA Express Letters
This Letter investigates the interplay between source-separation quality and head-related impulse response (HRIR)-based binaural rendering for monaural music recordings to provide design guidelines for monaural-to-binaural processing.
Yuya Hosoda, Kazuma Fujita, Ryota Shimokura, Youji Iiguni   +3 more
doaj   +1 more source