scholarly journals Machine Learning Applied to Music/Audio Signal Processing

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3077
Author(s):  
Alexander Lerch ◽  
Peter Knees
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Audio Signal ◽  
Audio Signal Processing ◽  
The Past ◽  
Music Signal ◽  
Music Audio

Over the past two decades, the utilization of machine learning in audio and music signal processing has dramatically increased [...]

The past, present and future of audio signal processing

1997 ◽  
Vol 14 (5) ◽  
pp. 30-57 ◽  
Author(s):  
M. Kahrs
Keyword(s):  
Signal Processing ◽  
Audio Signal ◽  
Audio Signal Processing ◽  
The Past

1D-TICapsNet: An audio signal processing algorithm for bolt early looseness detection

2020 ◽  
pp. 147592172097698
Author(s):  
Furui Wang ◽  
Gangbing Song
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Audio Signal ◽  
Training Procedure ◽  
Audio Signal Processing ◽  
Signal Processing Algorithm ◽  
One Dimensional ◽  
Learning Techniques ◽  
Core Issue ◽  
Contact Sensors

Recently, for bolt looseness detection, percussion-based methods have attracted more attention due to their advantages of eliminating contact sensors. The core issue of percussion-based methods is audio signal processing to characterize different bolt preloads, while current percussion-based methods all depend on machine learning–based techniques that require hand-crafted features and overlook bolt looseness at the incipient stage. Thus, in this article, the main contribution is that we propose a novel one-dimensional training interference capsule neural network (1D-TICapsNet) to process and classify percussion-induced sound signals, thus achieving bolt early looseness detection. First, compared to machine learning–based techniques, 1D-TICapsNet can fuse feature extraction and classification in one frame to achieve better performance. In addition, due to two tricks (i.e. training interference), including wider kernels in the first convolutional layer and the targeted dropout technique, our proposed 1D-TICapsNet outperforms several state-of-the-art deep learning techniques in terms of classification accuracy, computational costs, and the denoising capacity. We call these two tricks as “training interference” since they work during training procedure. Finally, we confirm the effectiveness and superiorities of 1D-TICapsNet via experiments. Considering the efficacy of 1D-TICapsNet, we can expect its real-world applications on bolt early looseness detection and other classification of one-dimensional signals.

scholarly journals L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing

2021 ◽  
Author(s):  
Eric Guizzo ◽  
Riccardo F. Gramaccioni ◽  
Saeid Jamili ◽  
Christian Marinoni ◽  
Edoardo Massaro ◽  
...  
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Audio Signal ◽  
Audio Signal Processing ◽  
3D Audio

The past, present and future of audio signal processing

1997 ◽  
Vol 14 (5) ◽  
pp. 30-57 ◽  
Author(s):  
M. Kahrs ◽  
G.W. Elko ◽  
S.J. Elliot ◽  
S. Makino ◽  
J.M. Kates ◽  
...  
Keyword(s):  
Signal Processing ◽  
Audio Signal ◽  
Audio Signal Processing ◽  
The Past

scholarly journals Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing

2019 ◽  
Vol 13 (2) ◽  
pp. 203-205 ◽  
Author(s):  
Hendrik Purwins ◽  
Bob Sturm ◽  
Bo Li ◽  
Juhan Nam ◽  
Abeer Alwan
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Data Science ◽  
Audio Signal ◽  
Audio Signal Processing

Tire audio signal processing based on EMD and autocorrelation analysis

2009 ◽  
Vol 2009 (9) ◽  
pp. 33-37
Author(s):  
Jiaoying Huang ◽  
Haiwen Yuan ◽  
Yong Cui ◽  
Chenxi Bi
Keyword(s):  
Signal Processing ◽  
Audio Signal ◽  
Audio Signal Processing ◽  
Autocorrelation Analysis

scholarly journals Detection and Correction of Under-/Overexposed Optical Soundtracks by Coupling Image and Audio Signal Processing

2008 ◽  
Vol 2008 (1) ◽  
Author(s):  
Jonathan Taquet ◽  
Bernard Besserer ◽  
Abdelali Hassaine ◽  
Etienne Decenciere
Keyword(s):  
Signal Processing ◽  
Audio Signal ◽  
Audio Signal Processing
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