Suchergebnisse - Transfer Learning in Sound Processing

Transfer Effect of Speech-sound Learning on Auditory-motor Processing of Perceived Vocal Pitch Errors von Chen, Zhaocong, Wong, Francis C. K., Jones, Jeffery A., Li, Weifeng, Liu, Peng, Chen, Xi, Liu, Hanjun

“… This event-related potential study investigated whether speech-sound learning can modulate the processing of feedback errors during vocal pitch regulation …”
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A Synchronous Processing Method for Underwater Sound Source Recognition and Range Estimation Based on Multi-Task Learning and Transfer Learning von Wang, Yong, Yao, Qihai, Yang, Yixin

“… This study focuses on underwater sound sources and investigates the application of multi-task learning (MTL …”
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Transfer Learning in Breast Cancer Diagnoses via Ultrasound Imaging von Ayana, Gelan, Dese, Kokeb, Choe, Se-woon

“… In this review, we focus on transfer learning methods applied on ultrasound breast image classification and detection from the perspective of transfer learning approaches, pre-processing, pre …”
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Gammatonegram based triple classification of lung sounds using deep convolutional neural network with transfer learning von Gupta, Sonia, Agrawal, Monika, Deepak, Desh

“… •A novel pre-processing technique has been proposed that de-noise respiratory sounds using variational mode decomposition(VMD …”
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A hybrid CNN-LSTM model for environmental sound classification: Leveraging feature engineering and transfer learning von Akter, Rubaiya, Islam, Md. Rezwanul, Debnath, Sumon Kumar, Sarker, Prodip Kumar, Uddin, Md. Kamal

“… Existing deep learning approaches, such as CNNs and RNNs, frequently struggle to manage diverse sound features, achieve real-time processing, and provide interpretability and generalization across varied environments …”
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A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach von Atrey, Kushangi, Singh, Bikesh Kumar, Roy, Abhijit, Bodhey, Narendra Kuber

“… , either on mammogram or ultrasound thereby having limited clinical application. The limitations stated above motivated us to develop a Computer-Aided Mammogram Segmentation (CAMS …”
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Improving breast cancer classification in fine-grain ultrasound images through feature discrimination and a transfer learning approach von Taheri, Fatemeh, Rahbar, Kambiz

“… The proposed approach tackles this challenge by utilizing pre-trained networks and implementing a transfer learning strategy …”
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Detection of breath cycles in pediatric lung sounds via an object detection-based transfer learning method von Park, Sa-Yoon, Park, Ji Soo, Lee, Jisoo, Lee, Hyesu, Kim, Yelin, Suh, Dong In, Kim, Kwangsoo

“… This study introduces an object detection-based transfer learning method to accurately predict breath cycles in pediatric lung sounds …”
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A transfer deep residual shrinkage network for bird sound recognition von Chen, Xiao, Zeng, Zhaoyou, Xu, Tong

“… We proposed a bird sound recognition method based on a developed transfer deep residual shrinkage network …”
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Computing Speed-of-Sound From Ultrasound: User-Agnostic Recovery and a New Benchmark von Feigin, Micha, Freedman, Daniel, Anthony, Brian W.

“… Deep learning was shown to be a viable tool for recovering speed-of-sound maps. A major hold-back towards deployment is the domain …”
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Optimal deep transfer learning driven computer‐aided breast cancer classification using ultrasound images von Ragab, Mahmoud, Khadidos, Alaa O., Alshareef, Abdulrhman M., Khadidos, Adil O., Altwijri, Mohammed, Alhebaishi, Nawaf

“… Therefore, this study develops an optimal deep transfer learning driven computer aided BC classification (ODTLD‐CABCC …”
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Adaptive iterative transfer learning for effective snapping shrimp sound detection von Lee, Dawoon, Byun, Gihoon, Chung, Wookeen

“… This study aims to detect the bioacoustics signal in the underwater soundscape, specifically those produced by snapping shrimp, using adaptive iterative transfer learning …”
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COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data von Horry, Michael J., Chakraborty, Subrata, Paul, Manoranjan, Ulhaq, Anwaar, Pradhan, Biswajeet, Saha, Manas, Shukla, Nagesh

“… In this study, we demonstrate how transfer learning from deep learning models can be used to perform COVID-19 detection using images from three most commonly used medical imaging modes X-Ray, Ultrasound, and CT scan …”
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Domain Adaptation via Transfer Component Analysis von Sinno Jialin Pan, Tsang, Ivor W, Kwok, James T, Qiang Yang

“… Intuitively, discovering a good feature representation across domains is crucial. In this paper, we first propose to find such a representation through a new learning method, transfer component analysis (TCA …”
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Bregman Divergence-Based Regularization for Transfer Subspace Learning von Si, Si, Tao, Dacheng, Geng, Bo

“… The regularization principals [31] lead approximation schemes to deal with various learning problems, e.g …”
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A scoping review of transfer learning research on medical image analysis using ImageNet von Morid, Mohammad Amin, Borjali, Alireza, Del Fiol, Guilherme

“… Employing transfer learning (TL) with convolutional neural networks (CNNs), well-trained on non-medical ImageNet dataset, has shown promising results for medical image analysis in recent years …”
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CT2US: Cross-modal transfer learning for kidney segmentation in ultrasound images with synthesized data von Song, Yuxin, Zheng, Jing, Lei, Long, Ni, Zhipeng, Zhao, Baoliang, Hu, Ying

“… •Ultrasound images with annotations are scarce, hampering the application of deep learning methods …”
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Classification of Heart Sounds Using Chaogram Transform and Deep Convolutional Neural Network Transfer Learning von Harimi, Ali, Majd, Yahya, Gharahbagh, Abdorreza Alavi, Hajihashemi, Vahid, Esmaileyan, Zeynab, Machado, José J. M., Tavares, João Manuel R. S.

“… Heart sounds convey important information regarding potential heart diseases. Currently, heart sound classification attracts many researchers from the fields of telemedicine, digital signal processing, and machine learning—among others …”
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Research on sound quality of roller chain transmission system based on multi-source transfer learning von Li, Jiabao, An, Lichi, Cheng, Yabing, Wang, Haoxiang

“… multi-source transfer learning convolutional neural network (MSTL-CNN …”
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Advancing Acoustic Droplet Vaporization for Tissue Characterization Using Quantitative Ultrasound and Transfer Learning von Kaushik, Anuj, Fabiilli, Mario L., Myers, Daniel D., Fowlkes, J. Brian, Aliabouzar, Mitra

“… Acoustic droplet vaporization (ADV) is an emerging technique with expanding applications in biomedical ultrasound …”
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