Voice quality assessment method and device

Abstract

The invention discloses a voice quality assessment method and device. The method includes the following steps: through a signaling acquisition method, obtaining a calling detail record (CDR) and measurement report (MR) information in a first preset duration; obtaining abnormity sensing user complaint data which is stored in a user complaint database and complies with a preset rule in a second preset duration, wherein the abnormity sensing user complaint data is complaint data submitted by a user when it is determined that a voice quality is abnormal; according to the abnormity sensing user complaint data and the obtained CDR and MR information, establishing a continuous poor-quality slide window model; and based on the established continuous poor-quality slide window model, traversing the CDR and the MR, which are obtained in the first preset duration and carrying out assessment on a continuous poor-quality problem included in the voice quality. Therefore, time can be saved comparatively well, assessment efficiency is improved and a comparatively comprehensive and accurate analysis result is obtained.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a method and device for evaluating voice quality. Background technique [0002] In the Global System for Mobile communication (GSM, Global System for Mobile communication), the voice reception quality (RxQual) parameter value (values ​​from 0 to 7) is generally used to reflect the voice quality. There is a direct correlation between the RxQual parameter value and the bit error rate of the speech signal: when 1<RxQual≤4, the bit error rate is less than 3.0%, and the voice quality is acceptable; when RxQual=5, the bit error rate is 3.2% to 6.4% between; when RxQual=6, the bit error rate is between 6.4% and 12.8%; when RxQual=7, the bit error rate is greater than 12.8%. That is to say, when 4<RxQual≤7, the voice quality will deteriorate, which will easily cause call noise and call drop. [0003] In the GSM communication protocol, due to factors such as...

AI Technical Summary

Problems solved by technology

At the same time, the continuous poor quality exists in both the uplink and downlink phases of the call. The ordinary driving network test (DT) can only collect downlink signaling and measurement report (MR, Measurement Results) information, and cannot evaluate and judge the user during the call. Continuously poor voice quality in the uplink

[0006] To sum up, in the prior art, the method of manual analysis is used to evaluate the continuous poor quality of voice quality, which is time-consuming, labor-intensive, inefficient, and has strong limitations, and it is impossible to obtain comprehensive and accurate analysis results.

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