11   Artículos

 
en línea
Jiachen Zhang, Guoqing Tu, Shubo Liu and Zhaohui Cai    
The rapid development of speech synthesis technology has significantly improved the naturalness and human-likeness of synthetic speech. As the technical barriers for speech synthesis are rapidly lowering, the number of illegal activities such as fraud an... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yue Kong, Weimin Chen, Ning Liu, Boqi Kang and Min Li    
The knowledge of cracking mechanisms is significant for evaluating the healthy condition of aircraft structures and can be retrieved by moment tensor inversion based on the acoustic emission (AE) phenomenon. For engineering applications, the inversion me... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Jiajia Yuan, Jinyun Guo, Yupeng Niu, Chengcheng Zhu, Zhen Li and Xin Liu    
Altimeter waveforms are usually contaminated due to nonmarine surfaces or inhomogeneous sea state conditions. The present work aimed to present how the singular spectrum analysis (SSA) can be used to reduce the noise level in Jason-1 altimeter waveforms ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Lilun Zhang, Dezhi Wang, Changchun Bao, Yongxian Wang and Kele Xu    
Whale vocal calls contain valuable information and abundant characteristics that are important for classification of whale sub-populations and related biological research. In this study, an effective data-driven approach based on pre-trained Convolutiona... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim and Juhan Nam    
Convolutional Neural Networks (CNN) have been applied to diverse machine learning tasks for different modalities of raw data in an end-to-end fashion. In the audio domain, a raw waveform-based approach has been explored to directly learn hierarchical cha... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Moussa Hamadache, Dongik Lee, Emiliano Mucchi and Giorgio Dalpiaz    
This paper addresses the application of an image recognition technique for the detection and diagnosis of ball bearing faults in rotating electrical machines (REMs). The conventional bearing fault detection and diagnosis (BFDD) methods rely on extracting... ver más
Revista: Applied Sciences    Formato: Electrónico

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