Real-time recognition method for baby cry

Abstract

The invention relates to a real-time recognition method for baby cry. The method comprises the steps of (1) recording baby cry signals and establishing a voice bank for preprocessing; (2) when the cry starts, sampling to obtain real-time digital signals after the baby cry is acquired, and extracting a real-time characteristic vector sequence after complete voice sections in the real-time digital signals are conducted for framing and windowing in sequence in a fixed time window; (3) matching the real-time characteristic vector sequence with a GMM (Giant Magnetostrictive Material) template to obtain a category with maximum likelihood, taking the maximum category as a recognition result, and voting on the current recognition result; and (4) after the cry completes, judging the categories of the baby cry according to the voting results, finishing the recognition, and carrying out baby status processing. The real-time recognition method for the baby cry can quickly judge the type namely the hunger type, the sleepy type, the wetting type and the pain type the baby cry belongs to in real time, so that a nurse can be aided to react in time, and recognition performance is high.

Description

technical field [0001] The invention relates to an audio processing technology applied in the field of family intelligent monitoring, in particular to a method for analyzing and identifying baby crying. It belongs to the field of information technology. Background technique [0002] The use of computers for human speech recognition is one of the very popular research directions in the field of artificial intelligence in recent years. First, speech collection is performed using speech collection tools, and then the collected speech signals are intelligently analyzed and processed, and feedback is given. Baby crying is an important way for babies to interact with the outside world. It is equivalent to the voice of adults. Babies cry differently due to differences in their intentions. Analyzing and processing a baby's cry as a special speech signal, and accurately classifying different cries to recognize their emotions can effectively assist nurses to provide appropriate care ...

AI Technical Summary

Problems solved by technology

Existing methods generally intercept a section of the crying signal for recognition (such as the first 1 second of the crying sound, etc.), as the recognition result, it does not conform to the long-lasting nature of the baby's crying sound, and cannot reflect the long-term time-domain characteristics , such as signal duration, signal amplitude fluctuation, beat, etc., which affect the recognition performance

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