Audio-based prediction method and system for natural mating results of captive pandas

Abstract

The invention discloses an audio-based prediction method and system for natural mating results of captive pandas, and the method comprises the steps: collecting sound data of captive pandas during natural mating, and obtaining original audio data; preprocessing the collected original audio data to obtain preprocessed audio clips; extracting Mel-frequency cepstral coefficient characteristics of thepreprocessed audio clips; utilizing a neural network model to judge the extracted Mel-frequency cepstral coefficient characteristics, and analyzing and predicting the prediction probability of a mating result predicted by each frame in the audio clip; and counting prediction probabilities of a plurality of audio frames in the audio clips input into the neural network model, and obtaining prediction judgment of a panda mating result according to statistical data. According to the method, the sound of the panda during mating is analyzed, so that the natural mating result of the panda is automatically predicted. Panda breeding researchers are assisted in achieving optimal natural mating pairing selection in the short optimal mating period of pandas.

Description

technical field [0001] The invention relates to the technical field of prediction of natural mating results of giant pandas, in particular to an audio-based method and system for predicting natural mating results of captive giant pandas. Background technique [0002] Giant panda, English name Giant Panda, scientific name Ailuropoda melanoleuca, commonly known as "panda" or "cat bear", is a mammal belonging to the family Ursidae of the order Carnivora, with black and white body colors. Pandas are endemic to China, and their main existing habitats are the mountainous areas around the Sichuan Basin in central and western China and the Qinling Mountains in southern Shaanxi. There are about 2,060 wild giant pandas in the world (2016 data). At the end of 2016, the International Union for Conservation of Nature (IUCN) downgraded the threat level of giant pandas from "endangered" to "vulnerable". Due to the low fertility rate, the giant panda is rated as an endangered species in t...

AI Technical Summary

Problems solved by technology

The traditional method for evaluating the estrus status of giant pandas is mainly based on the determination of hormone levels in their secretions. This method is complex to operate, high in cost, poor in stability, and accompanied by unavoidable delays

It cannot be used to evaluate and predict the natural mating results of captive giant pandas in real time, and cannot assist researchers to intervene in the breeding process in a timely manner based on the breeding results

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