Child emotion recognition method based on multi-attention mechanism long-short-time memory network
A long-short-term memory and emotion recognition technology, which is applied in the field of emotion recognition, can solve problems such as low efficiency of classification algorithms and different voice lengths, and achieve the effects of improving algorithm performance, high recognition efficiency, and reducing the number of parameters
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[0050] The present invention will be further described below with reference to the accompanying drawings.
[0051] like figure 1 As shown, the method for recognizing children's emotions based on the long-term and short-term memory network of multiple attention mechanisms of the present invention includes the following steps:
[0052] Step (A), the test set voice is carried out endpoint detection and framing, extract the time sequence correlation feature of this test set voice, form a sample set, comprise the following steps,
[0053] (A1), the test set voice is carried out endpoint detection, is used to eliminate the silent segment to ensure that the timing correlation feature is extracted from the effective voice information;
[0054] (A2), the test set voice after the endpoint detection is divided into frames according to 640 points, and the frame overlaps 50, and is divided into multiple test set voice frame data;
[0055] (A3), extracting 93-dimensional time sequence cor...
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