Compensation for utterance dependent articulation for speech quality assessment

Abstract

A method for objective speech quality assessment that accounts for phonetic contents, speaking styles or individual speaker differences by distorting speech signals under speech quality assessment. By using a distorted version of a speech signal, it is possible to compensate for different phonetic contents, different individual speakers and different speaking styles when assessing speech quality. The amount of degradation in the objective speech quality assessment by distorting the speech signal is maintained similarly for different speech signals, especially when the amount of distortion of the distorted version of speech signal is severe. Objective speech quality assessment for the distorted speech signal and the original undistorted speech signal are compared to obtain a speech quality assessment compensated for utterance dependent articulation.

Description

technical field [0001] The present invention relates to communication systems and in particular to speech quality assessment. Background technique [0002] The performance of wireless communication systems can be measured, one of which is measuring speech quality. In the current technology, there are two techniques for speech quality assessment. The first technique is a subjective technique (hereinafter referred to as "subjective speech quality assessment"). In subjective speech quality assessment, the speech quality of processed speech, which is the transmitted speech signal processed by the receiver, is evaluated by some human listeners. This technique is subjective because it is based on individual perception, and human assessments of speech quality often take into account speech content, speaking style, or individual speaker differences. Subjective speech quality assessments can be expensive and time-consuming. [0003] The second technique is an objective technique ...

AI Technical Summary

Problems solved by technology

However, these objective techniques do not take into account speech content, speaking style, or individual speaker differences

Images