The present invention provides a method and a device for detecting a voice tic symptom based on a support vector machine (SVM) algorithm, which analyze recorded voice of a patient and judge whether a voice tic symptom exists, thereby more rapidly and simply diagnosing and treating the voice tic symptom. According to an embodiment of the present invention, the device for detecting a voice tic symptom based on an SVM algorithm comprises: a learning part generating a voice tic symptom detecting model based on a plurality of tic symptom voice data, a mel-frequency cepstral coefficients (MFCC) feature vector and an SVM instruction learning algorithm; an input part receiving target voice data for testing the voice tic symptom from a user; and a diagnosing part judging whether the target voice data corresponds to the voice tic symptom based on the voice tic detecting model.
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