An Environmental Sound Source Classification System Based on Mel-Frequency Cepstral Coefficients and Gaussian Mixture Models
- An Environmental Sound Source Classification System Based on Mel-Frequency Cepstral Coefficients and Gaussian Mixture Models
- Guanghu Shen; 뉴옌반쾅; 최종석
- sound classification; MFCCs; Gaussian Mixture Models; Pattern recognition; Impulsive sound detection; Gaussian
- Issue Date
- 14th IFAC Symposium on Information Control Problems in Manufacturing
- This paper proposed a study of a sound source classification system that has been developed
for detecting and identifying the detected sound events in real environments. The proposed system was
based on a pattern recognition approach using Gaussian mixture models and Mel-Frequency Cepstral
Coefficients (MFCCs) features. We considered eight types of basic sound sources and an external sound.
To make the system robust to various types of sound sources, we designed a tree of reference sound
models for classification, in which especially generated total three of GMMs for external sounds
according to different characteristics of frequency distributions. The performance of the proposed system,
evaluated in terms of percent classification, indicated an averaged accuracy of 91.36% for off-line test.
Finally, in on-line test our proposed system also showed a good and stable performance in real
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- KIST Publication > Conference Paper
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