Bird sound recognition system and recognition method

Abstract

The invention discloses a bird sound recognition system and recognition method, and the system employs a specific directional reception method to achieve the high-precision tracking and recognition ofa target bird sound, reduces the range of a received sound source, can reduce the background noise interference to a greater degree, improves the detection and recognition precision, and achieves theprecise positioning and recognition. The sound spectrum rate aiming at bird sounds is higher, bird sound has the characteristic that a plurality of short high-pitch continuous or discontinuous high-frequency sounds are produced, a subsequent enhancement processing scheme is specified, and high-precision respective identification processing can be realized by utilizing a neural network model, so that the bird sound identification precision is remarkably improved, and a good technical support is provided for bird population research.

Description

technical field [0001] The invention relates to the technical field of bird population identification, in particular to a bird voice identification system and identification method. Background technique [0002] Population refers to all individuals of the same kind of organisms occupying a certain space within a certain period of time. Individuals in the population are not mechanically assembled, but can mate with each other and pass their genes to offspring through reproduction. Population is the basic unit of evolution, and all organisms in the same population share a gene pool. The research on the population is mainly about its quantitative change and intra-species relationship, and the content of the inter-species relationship has already belonged to the research category of biological communities. [0003] Population characteristics research generally includes population quantitative characteristics (population density), age structure, sex ratio, immigration rate and ...

AI Technical Summary

Problems solved by technology

[0004] However, the recognition accuracy of bird species based on acoustics in the prior art is relatively poor, so the background noise of the environmental samples in the prior art is relatively large, and it is difficult to guarantee the accuracy of sound feature recognition; usually , the identification method is mainly to identify the method of recording sound samples-sample background noise reduction-sound feature recognition. In this case, there are usually problems such as large background noise and various types of sounds, which lead to a low recognition rate of bird sounds.

At the same time, the sound spectrum rate of bird voices is relatively high, and bird voices have the characteristics of multiple short high-pitched continuous or discontinuous high-frequency sounds, so it is difficult to achieve accurate bird voice recognition based on this phenomenon

Images