GuiZhou University of Finance and Economics, Guiyang, Guizhou 550000, China.
Beijing Technology and Business University, Beijing 100048, China.
Comput Intell Neurosci. 2022 May 20;2022:3466987. doi: 10.1155/2022/3466987. eCollection 2022.
Artistic voice is the artistic life of professional voice users. In the process of selecting and cultivating artistic performing talents, the evaluation of voice even occupies a very important position. Therefore, an appropriate evaluation of the artistic voice is crucial. With the development of art education, how to scientifically evaluate artistic voice training methods and fairly select artistic voice talents is an urgent need for objective evaluation of artistic voice. The current evaluation methods for artistic voices are time-consuming, laborious, and highly subjective. In the objective evaluation of artistic voice, the selection of evaluation acoustic parameters is very important. Attempt to extract the average energy, average frequency error, and average range error of singing voice by using speech analysis technology as the objective evaluation acoustic parameters, use neural network method to objectively evaluate the singing quality of artistic voice, and compare with the subjective evaluation of senior professional teachers. In this paper, voice analysis technology is used to extract the first formant, third formant, fundamental frequency, sound range, fundamental frequency perturbation, first formant perturbation, third formant perturbation, and average energy of singing acoustic parameters. By using BP neural network methods, the quality of singing was evaluated objectively and compared with the subjective evaluation of senior vocal professional teachers. The results show that the BP neural network method can accurately and objectively evaluate the quality of singing voice by using the evaluation parameters, which is helpful in scientifically guiding the selection and training of artistic voice talents.
艺术嗓音是专业嗓音使用者的艺术生命。在选拔和培养艺术表演人才的过程中，嗓音的评价甚至占有非常重要的地位。因此，对艺术嗓音进行恰当的评价至关重要。随着艺术教育的发展，如何科学地评价艺术嗓音训练方法，公平地选拔艺术嗓音人才，是艺术嗓音客观评价的迫切需要。目前对艺术嗓音的评价方法既费时费力，又具有很强的主观性。在艺术嗓音的客观评价中，评价声学参数的选择非常重要。尝试通过语音分析技术提取歌唱嗓音的平均能量、平均频率误差和平均幅度误差作为客观评价声学参数，运用神经网络方法客观评价艺术嗓音的歌唱质量，并与资深专业声乐教师的主观评价进行比较。本文运用嗓音分析技术提取歌唱声学参数的第一共振峰、第三共振峰、基频、音域、基频微扰、第一共振峰微扰、第三共振峰微扰和平均能量，运用 BP 神经网络方法对歌唱质量进行客观评价，并与资深声乐专业教师的主观评价进行比较。结果表明，BP 神经网络方法可以通过评价参数准确客观地评价歌唱嗓音质量，有助于科学指导艺术嗓音人才的选拔和培养。
