Results 51 to 60 of about 35,961 (259)

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

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

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

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

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
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

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source