歌唱艺术嗓音中声学参数的应用

Application of Acoustic Parameters for Artistic Singing Voice

声学参数的正确选择是客观评价歌唱艺术嗓音的前提。利用语音分析技术提取歌声第一共振峰、第三共振峰、基频、音域、基频微扰、第一共振峰微扰、第三共振峰微扰、平均能量作为客观评价声学参数,使用BP神经网络方法客观评价歌唱艺术嗓音质量,并与资深专业教师的主观评价进行比较,评价误差在3.8%之内,结果表明选取上述声学参数利用BP神经网络能正确客观评价歌声质量,有助于科学地指导、选拔、培养艺术嗓音人才。

It is important for objective evaluation of the artistic singing voice to choose the acoustic parameter correctly. In this paper the characteristics of singing, such as F1, F3, F0, vocal range, jitter, disturbance of F1, disturbance of F3 and average energy are assessed hy the way of voice analysis. BP neural network analysis is used to evaluate the singing voices objectively. Then the results are compared with the subjective evaluations by experienced professionals that the errors are within 3. 8%. It shows that BP neural network analysis can be used as an objective instrument to evaluate singing voices by way of choosing the above acoustic parameters. This can be helpful to select and train professional singers.