https://scholars.lib.ntu.edu.tw/handle/123456789/488819
標題: | Evaluation of singing enthusiasm for songs with multiple phrases | 作者: | Chen, P.P. SHYH-KANG JENG JYH-SHING JANG Ono N. |
公開日期: | 2017 | 來源出版物: | 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 | 摘要: | A 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/488819 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013802621&doi=10.1109%2fAPSIPA.2016.7820768&partnerID=40&md5=cd808dd2f218e60b183a89739e354684 |
DOI: | 10.1109/APSIPA.2016.7820768 | SDG/關鍵字: | Ground truth; Online questionnaire; Positive correlations; Support vector regression (SVR) |
顯示於: | 資訊工程學系 |
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