Phase Reconstruction with Learned Time-Frequency Representations for Single-Channel Speech Separation

Author(s):  
Gordon Wichern ◽  
Jonathan Le Roux
2017 ◽  
Vol 141 (6) ◽  
pp. 4668-4679 ◽  
Author(s):  
Florian Mayer ◽  
Donald S. Williamson ◽  
Pejman Mowlaee ◽  
DeLiang Wang

Author(s):  
John Henry Navarro-Devia ◽  
Dzung Viet Dao ◽  
Yun Chen ◽  
Huaizhong Li

Abstract Vibrations during milling of hard-to-cut materials can cause low productivity, inferior quality and short tool life. It is one of the common issues in the machining of hard-to-cut materials employed in aerospace applications, such as titanium alloys. This paper presents an analysis of the vibration signals in the 3 axes of movement during titanium end milling, under diverse cutting parameters, manipulating spindle speed and feed rate. Signals were obtained using a triaxial accelerometer and processed in MATLAB. The analysis was conducted in the frequency-domain and the time-frequency domain. The results show that high-frequency vibration could occur in any direction with different amplitudes. Response on each axis depends on spindle speed, feed, and type of milling. A frequency component continually appeared in each axis regardless of cutting conditions and is located near the natural frequencies. Finally, the triaxial accelerations were compared for the milling cases with a new and a worn tool. Results highlight the importance and need for continuous monitoring of vibration in the 3 axes, instead of only using a single-channel signal, providing experimental data which could expand knowledge relating to the milling of titanium alloys.


2009 ◽  
Author(s):  
M. H. Radfar ◽  
W. -Y. Chan ◽  
R. M. Dansereau ◽  
W. Wong

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