心理聲學參量算法和編程實現(xiàn)

1、華中科技大學碩士學位論文心理聲學參量算法和編程實現(xiàn)姓名：焦中興申請學位級別：碩士專業(yè)：機械電子工程指導教師：何嶺松2011華 中 科 技 大 學 碩 士 學 位 論 文 華 中 科 技 大 學 碩 士 學 位 論 文 IIAbstract The algorithm of psychoacoustic metrics is a method based on computational procedure for sound quali

2、ty evaluation. Compared with the method of jury listening test, it’s repeatable, more efficient and conducive to standardization of sound quality evaluation. Psychoacoustic metrics include loudness, sharpness, fluctuatio

3、n strength, roughness, language interference level and the clarity index and so on. Each metric has serval different computational models. For the loudness, there are Stevens model, Zwicker model and Moore model. For the

4、 sharpness, there are Aures model and Von Bismarck model. At present, only loudness has been standardized and has international standards. These make the application of psychoacoustic metrics a little difficult in the re

5、al world. To decrease the heterogeneity of psychoacoustic metrics, this thesis emphasizes on the programming of several models for loudness, sharpness as well as roughness, and compares with each other using theoretical

6、analysis and subject test. Therefore, people can pick out an appropriate model when the sound quality evaluation is in need. In the first place, the superiority of Moore model is apparent, through the analysis and compar

7、ison of three standard algorithms for loudness calculation including Stevens model, Zwicker model and Moore model. After analyzing the deficiency of the three accessible input methods of Moore model (1/3 octave spectra,

8、FFT spectrum, synthetic spectra of several FFTs spectrum), a new approach is proposed to improve the efficiency and precision, which uses ERB scale to divide the auditory frequency into a series of bands, and demonstrate

9、s effectiveness according to computational results. In the second place, several algorithms for sharpness calculation, including Zwicker model, Aures model and Von Bismarck model etc, are compared, of which all the model

10、s are based on the Zwicker’s specific loudness. Due to the difference of distribution in Bark scale between Moore’s and Zwicker’s specific loudness, Moore’s specific loudness cannot be used to calculate the sharpness dir

11、ectly. In addition, the thesis turns to the analysis of the principle of Aures roughness model and Vassilakis roughness model, and the in-depth study of implementation procedure of Aures roughness model, which covers som