遇见数据集

猫狗叫声数据

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资源简介:

本数据集旨在为机器学习、音频识别、生物声学研究等领域提供高质量的训练和测试资源。它包含来自不同品种、年龄、性别以及情绪状态下的猫和狗的叫声录音,旨在提高算法在实际场景中对这两种常见宠物叫声的识别准确率。样本数量:猫叫1225条,狗叫3916条,总计5141条音频时长统计:单个录音文件时长:20s总时长:28.5小时音频格式:wav

This dataset is designed to provide high-quality training and testing resources for research domains including machine learning, audio recognition, and bioacoustics. It contains audio recordings of cat and dog vocalizations from various breeds, age groups, genders, and emotional states, with the goal of improving the recognition accuracy of algorithms for these two common pet vocalizations in real-world scenarios. Sample statistics: There are 1225 cat vocalization samples and 3916 dog vocalization samples, totaling 5141 audio clips. Audio duration details: Each individual recording file has a duration of 20 seconds, and the total cumulative duration reaches 28.5 hours. The audio format is WAV.

搜集汇总
数据集介绍
猫狗叫声数据 数据集图片
背景与挑战
背景概述
该数据集包含5141条猫狗叫声录音(猫叫1225条,狗叫3916条),总时长28.5小时,采用20秒WAV格式,适用于机器学习与音频识别研究。
以上内容由遇见数据集搜集并总结生成
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