The real-time measurement of quality of the underwater acoustic voice communication is crucial to communication quality. Real-time measurements can help to adjust voice modulation parameters timely and improve the adaptive ability of link. An objective assessment model for voice quality is proposed based on parameter extraction, based on the underwater acoustic channel characteristics. Three feature parameters of voice are extracted: Mel-frequency cepstrum coefficient(MFCC), linear predictive cepstrum coefficient(LPCC ) and log spectral deviation(LSD). The three parameters form the weight spectral distortion evaluation. the mapping relationship of distortion evaluation and receive voice quality of perceptual evaluation of speech quality -mean opinion score (PESQ-MOS) is used to conduct quantization. Dynamic Mel-frequency cepstrum coefficient(DMFCC) spectral distortion evaluation is also introduced as regulatory factor, which improves the adapt-ability. The results of simulation and sea test show that the measured MOS via the assessment model is close to PESQ-MOS, which indicated the model has practical value.