Abstract: A processing method of face recognition includes steps of: extracting embedding feature information from a face image; outputting a recognition result of face recognition according to the embedding feature information, wherein the recognition result includes a recognized name and embedding feature distance information; determining whether the recognized name is in a list or not; if the recognized name is in the list, performing a removal checking step for determining whether to remove the recognition result based on the embedding feature distance information; if determining that the recognition result is not to be removed, displaying the recognized name; if determining that the recognition result is to be removed, displaying a negative prompt; and dynamically and instantly providing a feedback and updating a recognition method for the face recognition.

Abstract: A model constructing method for audio recognition is provided. In the method, audio data is obtained. A predicted result of the audio data is determined by using the classification model which is trained by machine learning algorithm. The predicted result includes a label defined by the classification model. A prompt message is provided according to a loss level of the predicted result. The loss level is related to a difference between the predicted result and a corresponding actual result. The prompt message is used to query a correlation between the audio data and the label. The classification model is modified according to a confirmation response of the prompt message, and the confirmation response is related to a confirmation of the correlation between the audio data and the label. Accordingly, the labeling efficiency and predicting correctness can be improved.

Abstract: A processing method of face recognition includes steps of: extracting embedding feature information from a face image; outputting a recognition result of face recognition according to the embedding feature information, wherein the recognition result includes a recognized name and embedding feature distance information; determining whether the recognized name is in a list or not; if the recognized name is in the list, performing a removal checking step for determining whether to remove the recognition result based on the embedding feature distance information; if determining that the recognition result is not to be removed, displaying the recognized name; if determining that the recognition result is to be removed, displaying a negative prompt; and dynamically and instantly providing a feedback and updating a recognition method for the face recognition.