在第二个实验中,是根据狗的不同种类进行区分,这次,该软件的准确率达到了52%。
The software could reliably discriminate among individual dogs while humans cannot, which suggests that there are individual differences in barks of dogs even though humans are not able to recognise them.
该软件能够可靠的辨别人类不能辨别的不同种类的狗,这说明,不同的狗叫声是存在不同的,尽管人类似乎不能分辨出来。
The authors concluded: ‘The use of advanced machine learning algorithms to classify and analyse animal sounds opens new perspectives for the understanding of animal communication. The promising results obtained strongly suggest that advanced machine learning approaches deserve to be considered as a new relevant tool for studying animal behaviour.’
研究人员总结说,“这种分类和分析动物声音的高级机器为人类理解动物之间的沟通打开了新局面。这项非常有成效的结果强有力的证明了,如此先进的机器学习法应该被视为研究动物行为的一种新的相关的工具。”
【越小的孩子越能理解动物叫声的含义】相关文章:
★ 爱能化解一切辛劳
最新
2020-09-15
2020-09-15
2020-09-15
2020-09-15
2020-09-15
2020-09-15