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Construction site special vehicle identification method based on improved MFCC

A special vehicle and identification method technology, applied in the field of special vehicle identification on construction sites based on improved MFCC, can solve problems such as low accuracy, high cost, and easy to be blocked, so as to improve recognition speed, reduce calculation complexity, and improve The effect of accuracy

Inactive Publication Date: 2021-06-08
EAST CHINA JIAOTONG UNIVERSITY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these methods have shortcomings such as not being real-time, high cost, easy to be blocked, easily affected by weather, and low accuracy.

Method used

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  • Construction site special vehicle identification method based on improved MFCC
  • Construction site special vehicle identification method based on improved MFCC
  • Construction site special vehicle identification method based on improved MFCC

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Embodiment Construction

[0043] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. In the following description, many specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, therefore, the present invention is not limited to the specific embodiments disclosed below limit.

[0044] Such as figure 1 As shown, a construction site special vehicle identification method based on improved MFCC is used to identify construction site special vehicles in real time, including the following steps:

[0045] S101: Preprocessing the collected speech signal to obtain a time domain signal s(n);

[0046] S102: Perform DFT transformation on the audio time-domain signal s(n) to obtain a frequency-d...

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Abstract

The invention relates to a construction site special vehicle identification method based on the improved MFCC. The method is used for identifying a construction site special vehicle in real time and comprises the steps of preprocessing, DFT, Mel filtering, logarithm processing, DCT, audio signal characteristic parameter construction and training and identification by using a GMM-UBM model. According to the method, MFCC parameters and weighted first-order and second-order Mel differential cepstrum parameters are combined into one vector which serves as the characteristic parameter of an audio signal, the characteristic parameter can reflect the static characteristic of the audio and can also represent the dynamic characteristic of the audio, the dimensions of the characteristic parameter are N dimensions less than the dimensions of MFCC+delta MFCC and 2*N dimensions less than the dimensions of MFCC+delta MFCC+delta 2MFC, and therefore, the calculation complexity is reduced, and the recognition speed is effectively improved.

Description

technical field [0001] The present application relates to the technical field of voiceprint recognition, in particular to an improved MFCC-based method for identifying special vehicles on construction sites. Background technique [0002] According to the investigation of the State Grid, one-third of the underground cable accidents that have occurred are caused by external force damage. In the event of external damage to underground cables, it is basically due to the improper use of construction machinery by the engineering team to carry out construction operations, resulting in cable damage and disconnection. In order to solve such problems, the solutions adopted include manual inspection, installation of underground cable protection outer tube, camera monitoring and the use of vibration signals to monitor construction machinery. However, these methods have disadvantages such as lack of real-time performance, high cost, easy to be blocked, easily affected by weather, and lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/24G10L25/27G10L25/51G10L25/45G10L25/87G10L21/0232
CPCG10L25/24G10L25/27G10L25/51G10L25/45G10L25/87G10L21/0232
Inventor 曾繁洋李伟
Owner EAST CHINA JIAOTONG UNIVERSITY