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Improved ABC (Artificial Bee Colony) algorithm based crested ibis chirp codebook design method

A design method, crested ibis technology, applied in speech analysis, instruments, etc., can solve problems such as difficulty in obtaining the best codebook and large randomness

Inactive Publication Date: 2015-05-13
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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AI Technical Summary

Problems solved by technology

However, when the existing artificial bee colony algorithm is applied to the codebook design, the randomness is relatively large, and it is difficult to obtain the best codebook.

Method used

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  • Improved ABC (Artificial Bee Colony) algorithm based crested ibis chirp codebook design method
  • Improved ABC (Artificial Bee Colony) algorithm based crested ibis chirp codebook design method
  • Improved ABC (Artificial Bee Colony) algorithm based crested ibis chirp codebook design method

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Embodiment Construction

[0036] A kind of crested ibis song code book design method based on the improved ABC algorithm of the present invention comprises the following steps: digitize the songs of all behaviors of the crested ibises collected into an N-dimensional vector Z={z 1 ,z 2 ,…,z N}, Z is a training sequence consisting of N k-dimensional feature vectors, N indicates that there are N kinds of crested ibises' songs, and the i-th feature vector is recorded as z i ={t 1 ,t 2 ,...,t K}. The codebook design process is to divide these feature vectors Z into M disjoint subspaces according to the nearest neighbor method. These subspaces are called cells, and use the improved ABC algorithm to find a codeword representing the vector y in each subspace. m , then M representative vectors can form a vector set Y={y 1 ,y 2 ,...,y M}, thus forming a vector quantizer. The rule followed in the whole process is to minimize the average distortion D of the designed codebook. The average distortion D cal...

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Abstract

The invention discloses an improved ABC (Artificial Bee Colony) algorithm based crested ibis chirp codebook design method. The improved ABC algorithm based crested ibis chirp codebook design method comprises step 1, digitizing collected chirps of crested ibis behaviors into an N-dimension vector Z, wherein Z is a set from z1 to zN, Z is a training sequence which is formed by N k-dimension characteristic vectors, N represents N types of the chirps emitted from the crested ibis behaviors, the i characteristic vector is recorded as zi, and zi is a set from t1 to tK and step 2, dividing the characteristic vectors Z into M subspaces which are mutually disjointed according to a nearest neighbor domain method and searching a code word to represent a vector ym by an improved ABC algorithm in every subspace so as to enable the M representative vectors to form a vector set Y, wherein Y is a set from y1 to yM. Disturbance factors are added into the improved ABC algorithm based crested ibis chirp codebook design method and accordingly the search capability is high in the individual solution space range during early optimization by the improved ABC algorithm, the too early falling into the local optimum is avoided, and the convergence speeds up. Compared with the traditional LBG (Linde Buzo Gray) algorithm and the standard ABC algorithm, the speed is high and the robustness is good when the search is performed in the audio frequency to be tested.

Description

【Technical field】 [0001] The invention relates to the technical field of audio recognition, in particular to a method for designing a crested ibis song codebook. 【Background technique】 [0002] The crested ibis is a first-class protected animal in my country and a rare bird in the world. Identifying the behavior of the crested ibis through its calls can further understand the crested ibis, thereby achieving the important practical significance of protecting the crested ibis. By comparing the vocalization mechanism of crested ibises and humans, Bai Ya and others from Shaanxi Normal University established a terminal model of crested ibises' song signal, including a vocal tract model, a sound source model and an excitation model. Codebook design is an important technology in the crested ibis call recognition system model. The traditional LGB algorithm is easy to fall into local optimal solution when designing the codebook. Therefore, many scholars have applied fuzzy intellig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/26
Inventor 王民曹清菁张炜炜张立材卫铭斐王佳丽毛力刘利王燕妮朱晓娟
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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