1. A speech quality assessment method, comprising: estimating, by a computer, objective frame distortion in a received speech signal at a portion of a speech quality system, the estimated objective frame distortion based on inputting at least one feature vector for each frame of the received speech signal into at least a first model trained based on subjective quality assessment data, the at least one feature vector including articulation power components; estimating mute distortion caused by mutes in the received speech signal using a second model trained based on the subjective quality assessment data; determining a speech quality assessment for the received speech signal based on the estimated objective frame distortion and the estimated mute distortion; and storing the determined speech quality assessment at a portion of the speech quality system, retraining the first model based on the estimated objective frame distortion and the estimated mute distortion.