1. A method for evaluating voice quality, comprising: performing human auditory modeling processing on a voice signal to obtain first signals, the human auditory modeling processing comprising passing the voice signal through a human-ear filter bank, the human-ear filter bank performing non-uniform band division of the voice signal and generating sub-band signals with different frequency ranges, and the sub-band signals being processed to generate the first signals; performing variable resolution time-frequency analysis on the first signals to obtain second signals, the variable resolution time-frequency analysis comprising performing L-order wavelet transformation on the first signals to obtain M wavelet signals, each of L and M comprising a positive integer, a value of L being determined based on a sampling rate of the voice signal and a frequency resolution that is required for quality evaluation and analysis, and a value of M being determined according to L and a frequency analysis range that is set during the quality evaluation and analysis; performing, based on the second signals, feature extraction and analysis to obtain a voice quality evaluation result of the voice signal and a distortion degree; generating a comprehensive voice quality evaluation result by calculating an average value of the voice quality evaluation result of the voice signal and at least one voice quality evaluation result of a previous voice signal; generating a mean opinion score-listening quality objective (MOS-LQO) score by linearly transforming the distortion degree; improving the voice quality at a terminal of a network using the comprehensive voice quality evaluation result and the MOS-LQO score to identify a quality bottleneck in the network; and performing resampling processing on a voice signal of various sampling rates to obtain the voice signal of a same sampling rate before performing the human auditory modeling processing.