Development of algorithm for analysis of sound fragments in medical information systems

Abramov, G. V.; Коробова, Л. А.; Matytsina, I A

doi:10.1088/1742-6596/1479/1/012095

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Sound Signal Preprocessing Based On Mfcc and Imfcc Feature F...1

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2023

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“…In order to ensure the smooth transition between two adjacent frames [7][8] , the spectral smoothness is guaranteed in a short time, and the short time is usually 10~30ms, and the frame signal needs to be superimposed. Therefore, it is necessary to frame the sound signal several times.…”

Section: Sound Signal Preprocessing Based On Mfcc and Imfcc Feature F...mentioning

confidence: 99%

A study of sound recognition algorithm for power plant equipment fusing MFCC and IMFCC features

Zhang,

Zhao,

Huang

et al. 2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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The current traditional deep learning-based sound recognition algorithm achieves the classification and recognition of sound by constructing MLP models, which leads to a large computational effort and low sound recognition rate due to the lack of dimensionality reduction processing of sound signal features. In this regard, we propose the study of sound recognition algorithm for power plant equipment by fusing MFCC and IMFCC features. Pre-processing such as preemphasis, normalization and framing of the sound signal is performed, and a decentralized approach is used to realize the dimensionality reduction of the sound signal features and achieve the recognition of power plant equipment sounds. In the experiments, the average recognition rate of the proposed algorithm is verified. The analysis of the experimental results shows that the sound recognition algorithm constructed by the proposed method has a high average recognition rate and a good recognition effect.

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Section: Sound Signal Preprocessing Based On Mfcc and Imfcc Feature F...mentioning

confidence: 99%

A study of sound recognition algorithm for power plant equipment fusing MFCC and IMFCC features

Zhang,

Zhao,

Huang

et al. 2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

View full text Add to dashboard Cite

show abstract

Development of algorithm for analysis of sound fragments in medical information systems

Cited by 1 publication

References 2 publications

A study of sound recognition algorithm for power plant equipment fusing MFCC and IMFCC features

A study of sound recognition algorithm for power plant equipment fusing MFCC and IMFCC features

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