Research on Sound Source Material Recognition Technology in Indoor Geotechnical Inspection

Author:

Guo Huajie1ORCID,Jiang Huihuang12,Gao Mingxian2

Affiliation:

1. Postgraduate Department, China Academy of Railway Sciences, Beijing 100081, China

2. China Academy of Railway Sciences (Shenzhen) Research and Design Institute Co., Ltd, Shenzhen 518057, China

Abstract

Studies have shown that physical parameters such as size have obvious influence and relevance on the sound spectrum structure. In order to study the new detection technology of sound recognition of compaction of soil, this article conducted a large number of indoor soil sample hammering tests. The timbre features of the sound are extracted by the impact sound feature extraction method based on the principle of auditory perception, and the focus is on the correlation between frequency domain eigenvalues such as spectral centroid and different compaction of soil. By grouping and analyzing the multiple sets of acoustic samples after the different compaction of soil samples are excited, we found that the centroid feature of the subband spectrum can well represent the compaction of soil, and the two have a strong correlation; the maximum correlation coefficient is up to 0.81. The research results show that when the reasonable hammering force range of exciting soil is 30 N~89 N, the subband spectrum centroid feature is used as an index to characterize the compaction of soil, which can be used to infer the compaction of soil.

Funder

China Academy of Railway Sciences

Publisher

Hindawi Limited

Subject

General Earth and Planetary Sciences

Reference26 articles.

1. Computer identification of musical instruments using pattern recognition with cepstral coefficients as features

2. Comparison of features for musical instrument recognition

3. Towards instrument segmentation for music content description: a critical review of instrument classification techniques;P. Herrera

4. MarquesJ.MorenoP. J.A study of musical instrument classification using gaussian mixturemodels and support vector machines1999Cambridge Research Laboratory, Cambridge, Mass, USA, JuneTech. Rep

5. MartinK. D.Sound-source recognition: a theory and computational model, [Ph.D. thesis]1999Cambridge, Mass, USAMassachusetts Institute of Technology

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