Audio recognition of Chinese traditional instruments based on machine learning
Abstract This paper is part of a special issue on Music Technology. We study the type recognition of traditional Chinese musical instrument audio in the common way. Using MEL spectrum characteristics as input, we train an 8‐layer convolutional neural network, and finally achieve 99.3% accuracy. Afte...
Main Authors: | Rongfeng Li, Qin Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-06-01
|
Series: | Cognitive Computation and Systems |
Subjects: | |
Online Access: | https://doi.org/10.1049/ccs2.12047 |
Similar Items
-
Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns
by: Wei Zong, et al.
Published: (2022-12-01) -
Optimizing Speech Emotion Recognition with Machine Learning Based Advanced Audio Cue Analysis
by: Nuwan Pallewela, et al.
Published: (2024-07-01) -
Secure machine learning against adversarial samples at test time
by: Jing Lin, et al.
Published: (2022-01-01) -
An Audio Watermarking Algorithm Based on Adversarial Perturbation
by: Shiqiang Wu, et al.
Published: (2024-08-01) -
Detection of sensors used for adversarial examples against machine learning models
by: Ade Kurniawan, et al.
Published: (2024-12-01)