@inproceedings{44a6098b9fdf44cd9e1d73a4cb08b301,
title = "Automatic singing evaluating system based on acoustic features and rhythm",
abstract = "This paper proposes an automatic singing evaluation system. The system provides the user with the score that was assessed by acoustic features and the rhythmic similarity between the original song and the user input. The assessment system is divided into two stages. In the first stage, acoustic similarities are measured by dynamic time warping (DTW). In the second stage, the rhythmic similarity is measured by analysing the optimal path of DTW by quadratic polynomial regression. Finally, the similarity of two stages is combined into one score by corresponding weights. The experimental results show the good performance for the automatic singing evaluation system.",
keywords = "Singing assessment, acoustic feature, dynamic time warping, melodic similarity, singing evaluating",
author = "Lin, {Chang Hung} and Lee, {Yuan Shan} and Chen, {Ming Yen} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Orange Technologies, ICOT 2014 ; Conference date: 20-09-2014 Through 23-09-2014",
year = "2014",
month = nov,
day = "12",
doi = "10.1109/ICOT.2014.6956625",
language = "???core.languages.en_GB???",
series = "IEEE International Conference on Orange Technologies, ICOT 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "165--168",
booktitle = "IEEE International Conference on Orange Technologies, ICOT 2014",
}