Chen, P.P.P.P.ChenSHYH-KANG JENGJYH-SHING JANGOno N.2020-05-042020-05-042017https://scholars.lib.ntu.edu.tw/handle/123456789/488819https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013802621&doi=10.1109%2fAPSIPA.2016.7820768&partnerID=40&md5=cd808dd2f218e60b183a89739e354684A system for automatically evaluating singing enthusiasm is proposed in this study. The definition of singing enthusiasm is how much enthusiasm is perceived in a song being evaluated. This system evaluates the singing enthusiasm on the basis of pitch accuracy, vibrato, diminuendo, roughness, and the correlation between pitch and loudness. A support vector regression (SVR) machine is used for the evaluation. This system can deal with songs having multiple phrases without any reference information such as the pitch ground truth or phrase location. To the authors' knowledge, only one such system has previously been proposed which could only handle a single phrase of about 5-second long. To evaluate this system, a singing corpus with 342 song clips sung by nine participants was recorded and ground-truth enthusiasm evaluation scores were obtained by an online questionnaire. The experimental results obtained from a leave-one-singer-out test revealed that the enthusiasm scores evaluated by the proposed system had a significant positive correlation coefficient of 0.51 with the human-labeled ground truth. © 2016 Asia Pacific Signal and Information Processing Association.Ground truth; Online questionnaire; Positive correlations; Support vector regression (SVR)conference paper10.1109/APSIPA.2016.7820768