Evaluating the Singing Voices Objectivly Using BPNN

摘要：

In this paper, an objective way to evaluate artistic voice of singing is discussed. The authors take F, (the first Formant), F, (the third Formant), fundamental frequency, vocal range, perturbation of F1, perturbation of F3 and average energy as the evaluating parameters and assess the quality of singing voices with BPNN(back propagation neural network). The results are then compared with the subjective evaluation of experienced professionals. Experiments show that BP neural network is effective to evaluate the singing voices, thus to be helpful to scientific guidance of selecting and training the talent of artistic voice.

关键词： artistic voice acoustic parameter BP neural network analysis objective evaluation

作者: Luoe Lan Chunljang Zhong Wei Ping-an

作者单位: dept. Electronics Science and Information Engineering Hunan University of Technology Zhuzhou, China Dept. Information Engineering Lasa Teacher School Tibet lasa, China

会议类型: 国际会议

会议名称: 2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

会议地点: 三峡

会议语种:英文

页码: 722-724

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）