A Baby Crying Detection Method Based on Interval Difference Feature
A detection method, infant technology, applied in speech analysis, instruments, etc., can solve problems such as external audio interference, achieve the effect of less false detection and missed detection, fast overall speed, and accurate detection results
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[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0050] A method for detecting infant crying based on interval difference features, comprising a training step and a detection step, specifically as follows:
[0051] The function of the training step is to obtain a baby crying audio classifier, which mainly uses the audio waveform data as a learning sample, adaptively selects the optimal features based on the adaboost learning algorithm for training, and obtains the corresponding classifier learning files, such as figure 1 shown, including the following steps:
[0052] T1. Collect positive samples for training, mainly audio waveform data of various crying babies, including audio waveform data of crying babies of different age groups and situations. The duration of each waveform data is 15 seconds, such as image 3 shown.
[0053] T2. Collect training negative samples, mainly all possible audi...
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