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Yu Zhang, Maoshen Jia, Xinyu Jia and Tun-Wen Pai
Multiple sound source separation in a reverberant environment has become popular in recent years. To improve the quality of the separated signal in a reverberant environment, a separation method based on a DOA cue and a deep neural network (DNN) is propo...
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Han Li, Kean Chen, Lei Wang, Jianben Liu, Baoquan Wan and Bing Zhou
Thanks to the development of deep learning, various sound source separation networks have been proposed and made significant progress. However, the study on the underlying separation mechanisms is still in its infancy. In this study, deep networks are ex...
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Christopher Teruna, Leandro Rego, Damiano Casalino, Daniele Ragni and Francesco Avallone
This manuscript presents the application of a recently developed noise reduction technology, constituted by poro-serrated stator blades on a full-scale aircraft model, in order to reduce rotor-stator interaction noise in the fan stage. This study was car...
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Ke Zhang, Yangjie Wei, Dan Wu and Yi Wang
Voice signals acquired by a microphone array often include considerable noise and mutual interference, seriously degrading the accuracy and speed of speech separation. Traditional beamforming is simple to implement, but its source interference suppressio...
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Karol J. Kowalski, Jan Król, Piotr Radziszewski, Raquel Casado, ... Matt Wayman
Pág. 3582 - 3591
It is estimated that more than 90% of the 5.2 million kilometers of European paved roads and highways are surfaced with asphalt. Also, about 44% of goods are transported by road in the EU; maintaining their condition whilst in transit is crucial for the ...
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