Research on Pig Sound Recognition Based on Deep Neural Network and Hidden Markov Models [PDF]
SensorsIn order to solve the problem of low recognition accuracy of traditional pig sound recognition methods, deep neural network (DNN) and Hidden Markov Model (HMM) theory were used as the basis of pig sound signal recognition in this study.
Weihao Pan +5 more
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Sound Recognition Method of Coal Mine Gas and Coal Dust Explosion Based on GoogLeNet [PDF]
Entropy, 2023 To solve the problems of backward means of coal mine gas and coal dust explosion monitoring, late reporting, and low leakage rate, a sound recognition method of coal mine gas and coal dust explosion based on GoogLeNet was proposed.
Xingchen Yu, Xiaowei Li
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Hopf physical reservoir computer for reconfigurable sound recognition [PDF]
Scientific Reports, 2023 The Hopf oscillator is a nonlinear oscillator that exhibits limit cycle motion. This reservoir computer utilizes the vibratory nature of the oscillator, which makes it an ideal candidate for reconfigurable sound recognition tasks.
Md Raf E. Ul Shougat +4 more
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A Development of a Sound Recognition-Based Cardiopulmonary Resuscitation Training System [PDF]
IEEE Journal of Translational Engineering in Health and MedicineThe objective of this study was to develop a sound recognition-based cardiopulmonary resuscitation (CPR) training system that is accessible, cost-effective, easy-to-maintain and provides accurate CPR feedback.
Dong Hyun Choi +8 more
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Design of Abnormal Heart Sound Recognition System Based on HSMM and Deep Neural Network [PDF]
Medical Devices: Evidence and Research, 2022 Hai Yin,1 Qiliang Ma,2 Junwei Zhuang,1 Wei Yu,1 Zhongyou Wang3 1School of Biomedical Engineering and Medical Imaging, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People’s Republic of China; 2School of ...
Yin H, Ma Q, Zhuang J, Yu W, Wang Z
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Chainsaw Sound Detection Using DNN Algorithm
The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, 2023 Deforestation and illegal logging stand as important environmental problems. In this paper we propose a DNN architecture for sound recognition of chainsaw detection.
Florin Bogdan MARIN, Mihaela MARIN
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Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens [PDF]
Research Ideas and Outcomes, 2020 Acoustic pattern recognition methods introduce new perspectives for species identification, biodiversity monitoring and data validation in citizen science but are rarely evaluated in real world scenarios. In this case study we analysed the performance of
Marcel Stehle +3 more
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Recognition method of coal mine gas and coal dust explosion based on sound spectrogram and SVM
Meitan kexue jishu, 2023 In order to improve the detection accuracy of coal mine gas and coal dust explosion, recognition method of coal mine gas and coal dust explosion based on the sound spectrogram and SVM was proposed: installing mining pickups in key monitoring areas of ...
SUN Jiping, YU Xingchen, WANG Yunquan
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Prototypical System to Detect Anxiety Manifestations by Acoustic Patterns in Patients with Dementia [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2019 INTRODUCTION: Dementia is a syndrome characterised by a decline in memory, language, and problem-solving thataffects the ability of patients to perform everyday activities.
Netzahualcoyotl Hernandez +9 more
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Lung Sound Signal Recognition Based on Dual-Source Domain Transfer Learning [PDF]
Jisuanji gongcheng, 2023 In current lung sound recognition methods, problems include model overfitting and low classification accuracy caused by the small size of the lung sound dataset.Therefore, a lung sound recognition method based on dual-source domain transfer learning is ...
Shanshu BAO, Bo CHE, Linhong DENG
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