Speech emotion recognition method based on punishment of speaker and independent of speaker
A speech emotion recognition and speaker technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of uncomfortable feature compression, transmission, unfavorable recognition performance, poor portability, etc.
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[0077] The present invention will be further described below in conjunction with the accompanying drawings.
[0078] Such as figure 1 Shown is the flowchart of the present invention.
[0079] A speaker-independent speech emotion recognition method based on speaker penalty, comprising the following steps:
[0080] Divide several voice samples in the voice emotion database into a training sample set and a test sample set according to different speakers, and the speaker of any sample in the training set does not appear in the test set, and each voice sample has voice emotion label information and speaker label information, including the following steps performed sequentially:
[0081] Step 1, voice sample preprocessing: pre-emphasize the voice sample, and then divide the time-domain signal of the pre-emphasized voice sample into frames;
[0082] Step 2, speech emotion feature extraction: For each speech sample processed in step 1, extract its energy, pitch, zero-crossing rate,...
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