Disclosed in the present invention is a ViNR user audio and video
perception evaluation method. The method comprises the steps of: S1, audio and video data
initiation: a transmitting end initiating audio data and video data, recording
time series data corresponding to the audio data and the video data at the time of
initiation, and storing same;
processing and storing the audio data, and simultaneously storing
network data of the transmitting end; S2, audio and video data reception: a receiving end receiving the audio data and the video data, recording
time series data corresponding to the audio data and the video data at the time of reception, and storing same;
processing and storing the audio data, and simultaneously storing
network data of the receiving end; S3, evaluation and analysis: using a similarity evaluation method to evaluate a plurality of types of data of the transmitting end and the receiving end, and simultaneously performing
time series evaluation on the basis of the time
series data and performing network quality evaluation on the basis of the
network data; and obtaining a comprehensive audio and video
perception evaluation, so as to form a
user perception evaluation. By means of the method, network problems are located more accurately.