卷积神经网络
人工智能
分类器(UML)
计算机科学
模式识别(心理学)
鉴定(生物学)
人工神经网络
特征(语言学)
语音识别
机器学习
生物
语言学
植物
哲学
作者
Peng Chen,Dong Yin,Bo Yang,Wensheng Tang
出处
期刊:Journal of physics
[IOP Publishing]
日期:2022-02-01
卷期号:2203 (1): 012049-012049
被引量:1
标识
DOI:10.1088/1742-6596/2203/1/012049
摘要
Abstract Affected by expert experience and individual differences in sows, artificial identification of sows in estrus is prone to various problems leading to low efficiency. A reliable audio classifier helps to identify the sows for estrus. In this work we propose a novel approach for estrus sound recognition using a fusion of two representative features as inputs and Convolutional Neural Networks (CNN) as training model. We demonstrate that the fusion feature generalizes better on the CNN model with training data under a real farm environment and gives remarkably higher test performance. Our model is also compared with some works that are published recently and achieve state-of-the-art performance.
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