Results 81 to 90 of about 4,974,855 (283)

Audio Signal Processing for Activity Recognition of Construction Heavy Equipment

, 2016
Action recognition and tracking of construction heavy equipment is the first step for benchmarking and analyzing the performance of individual machines and evaluating the productivity of a jobsite as a whole.
Chieh-Feng Cheng, Abbas Rashidi, M. Davenport, David V. Anderson   +3 more
semanticscholar   +1 more source

Transforming Room Acoustics with Causality‐Driven Dual‐Function Passive Metamaterials

Advanced Materials Technologies, EarlyView.
This work presents an dual acoustic metamaterial for rooms that achieves excellent broadband performance for both sound absorption and sound diffusion. This is done by using causality formulations linking the absorption of the passive system to its volume, yielding an optimal surface area ratio required for excellent sound absorption and while ...
Eric Ballestero, Yang Meng, Ping Sheng, Vincent Tournat, Vicent Romero‐García, Jean‐Philippe Groby   +5 more
wiley   +1 more source

Fostering uncertainty tolerance in anatomy education: Lessons learned from how humanities, arts and social science (HASS) educators develop learners' uncertainty tolerance

Anatomical Sciences Education, Volume 16, Issue 1, Page 128-147, January/February 2023., 2023
Abstract Uncertainty tolerance, individuals' perceptions/responses to uncertain stimuli, is increasingly recognized as critical to effective healthcare practice. While the Covid‐19 pandemic generated collective uncertainty, healthcare‐related uncertainty is omnipresent.
Michelle D. Lazarus, Amany Gouda‐Vossos, Angela Ziebell, Gabrielle Brand   +3 more
wiley   +1 more source

High Capacity Audio Steganography Based on Contourlet Transform

Tikrit Journal of Engineering Sciences, 2022
The science of hiding information behind other cover media file is known steganography. Audio steganography means that a secret message is hidden by embedding it in an audio file.
Abbas Salman Hameed
doaj  

Enhancing Gappy Speech Audio Signals with Generative Adversarial Networks [PDF]

arXiv, 2023
Gaps, dropouts and short clips of corrupted audio are a common problem and particularly annoying when they occur in speech. This paper uses machine learning to regenerate gaps of up to 320ms in an audio speech signal. Audio regeneration is translated into image regeneration by transforming audio into a Mel-spectrogram and using image in-painting to ...
arxiv  

Advances in Early Warning of Thermal Runaway in Lithium‐Ion Battery Energy Storage Systems

Advanced Sensor Research, EarlyView.
This review presents a comprehensive analysis of cutting‐edge sensing technologies and strategies for early detection and warning of thermal runaway in lithium‐ion battery energy storage systems. It discusses the factors inducing thermal runaway, the evolution mechanism, and the detectable characteristic signals, along with advancements in ...
Duzhao Han, Juan Wang, Chengxian Yin, Yuxin Zhao   +3 more
wiley   +1 more source

Asymmetric Inter‐Hemisphere Communication Contributes to Speech Acquisition of Toddlers with Cochlear Implants

Advanced Science, EarlyView.
The present study constructs machine‐learning models to resolve developmental relationships among auditory performance, auditory cortical processing, and functional connectivity of the bilateral language network during the first year of restored hearing. The results demonstrate that asymmetric inter‐hemisphere communication contributes significantly to
Xue Zhao, Meiyun Wu, Haotian Liu, Yuyang Wang, Zhikai Zhang, Yuhe Liu, Yu‐Xuan Zhang   +6 more
wiley   +1 more source

State of the Art of Low‐Frequency Acoustic Modulation: Intensity Enhancement and Directional Control

Advanced Science, EarlyView.
High intensity low‐frequency sound sources hold significant value in many fields. However, their long wavelength, strong penetrability, and tendency to diffract make direction control and intensity enhancement challenging. Acoustic generators and metamaterial‐based acoustic devices still face issues such as low energy efficiency, poor directional ...
Jingsong Xu, Yunfeng Ye, Tao Dong, Zhaochu Yang, Nuno Miguel Matos Pires, Yu Zhou, Fuyu Tao, Jin Wang, Junshan Zhang, Guoxi Luo, Libo Zhao, Qi Mao, Yangtao Wang, Zhuangde Jiang   +13 more
wiley   +1 more source

Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss [PDF]

arXiv, 2021
We present an audio-visual speech separation learning method that considers the correspondence between the separated signals and the visual signals to reflect the speech characteristics during training. Audio-visual speech separation is a technique to estimate the individual speech signals from a mixture using the visual signals of the speakers ...
arxiv  

Audio Sentiment Analysis by Heterogeneous Signal Features Learned from Utterance-Based Parallel Neural Network

AffCon@AAAI, 2018
Audio Sentiment Analysis is a popular research area which extends the text-based sentiment analysis to depend on effectiveness of acoustic features extracted from speech.
Ziqian Luo, Hua Xu, Feiyang Chen
semanticscholar   +1 more source