scholarly journals Characterizing the seabed by using noise interferometry and time warping

2018 ◽  
Author(s):  
Tsuwei Tan ◽  
Oleg A. Godin ◽  
Adrien Lefebvre ◽  
Wandrille Beaute ◽  
Boris G. Katsnelson ◽  
...  
Keyword(s):  
Time Warping ◽  
Noise Interferometry

scholarly journals Characterizing the seabed in the Straits of Florida by using acoustic noise interferometry and time warping

2019 ◽  
Vol 146 (4) ◽  
pp. 2321-2334 ◽  
Author(s):  
Tsu Wei Tan ◽  
Oleg A. Godin ◽  
Michael G. Brown ◽  
Nikolay A. Zabotin
Keyword(s):  
Acoustic Noise ◽  
Time Warping ◽  
Straits Of Florida ◽  
Noise Interferometry

Multichannel sparse spike deconvolution based on dynamic time warping

2021 ◽  
Author(s):  
Xiaowei Zhao ◽  
Shangxu Wang ◽  
Sanyi Yuan ◽  
Liang Cheng ◽  
Youjun Cai
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
Dynamic Time

scholarly journals Environmental effects on reliability and accuracy of MFCC based voice recognition for industrial human-robot-interaction

2021 ◽  
pp. 095440542110144
Author(s):  
B Birch ◽  
CA Griffiths ◽  
A Morgan
Keyword(s):  
Speech Recognition ◽  
Voice Recognition ◽  
Human Robot Interaction ◽  
Hole Drilling ◽  
Time Warping ◽  
Mel Frequency Cepstral Coefficients ◽  
Robot Interaction ◽  
Extraction Algorithm ◽  
Dynamic Time ◽  
Manufacturing Environments

Collaborative robots are becoming increasingly important for advanced manufacturing processes. The purpose of this paper is to determine the capability of a novel Human-Robot-interface to be used for machine hole drilling. Using a developed voice activation system, environmental factors on speech recognition accuracy are considered. The research investigates the accuracy of a Mel Frequency Cepstral Coefficients-based feature extraction algorithm which uses Dynamic Time Warping to compare an utterance to a limited, user-dependent dictionary. The developed Speech Recognition method allows for Human-Robot-Interaction using a novel integration method between the voice recognition and robot. The system can be utilised in many manufacturing environments where robot motions can be coupled to voice inputs rather than using time consuming physical interfaces. However, there are limitations to uptake in industries where the volume of background machine noise is high.

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