smyx_infant_cry_cause_classification_analysis | 婴幼儿哭声原因分类

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@user_bb47e3e3/infant-cry-cause-classification-analysis

Using the built-in microphone of a baby monitor or smart camera to capture infant cry audio, AI acoustic analysis extracts cry features such as frequency, pitch, rhythm, and duration, and classifies the possible causes behind the cry (hunger, sleepiness, pain/discomfort, boredom/need for comfort, fear, etc.), outputting the most likely cause and its confidence. | 通过婴儿监护器或智能摄像头的内置麦克风采集婴儿哭声音频，利用AI声学分析技术提取哭声的频率、音调、节奏、持续时间等特征，分类识别婴儿哭声背后的可能原因（饥饿、困倦、疼痛/不适、无聊/需要安抚、恐惧等），输出最可能的原因类别及置信度。系统实时监测哭声，当检测到哭声时自动分析并在父母手机APP上推送结果（如'宝宝可能是饿了，建议喂奶'）。