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Investigating the Role of Musical Genre in Human Perception of Music Stretching Resistance

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Big Data Applications and Services 2017 (BIGDAS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 770))

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Abstract

In Big Data Era, stretching a music piece to a given length is a common demand in people’s daily lives, e.g., in audio–video synchronization and animation production. However, it is not always guaranteed that the stretched music piece is acceptable for general audience since music stretching suffers from people’s perceptual artifacts. Overstretching a music piece will make it uncomfortable for human psychoacoustic hearing. The research on music stretching resistance attempts to estimate the maximum stretchability of music pieces to further avoid overstretch. It has been observed that musical genres can significantly improve the accuracy of automatic estimation of music stretching resistance, but how musical genres are related to music stretching resistance has never been explained or studied in detail in the literature. In this paper, the characteristics of music stretching resistance are compared across different musical genres. It is found that music stretching resistance has strong intra-genre cohesiveness and inter-genre discrepancies in the experiments. Moreover, the ambiguity and the symmetry of music stretching resistance are observed in the experimental analysis. These findings lead to a new measurement on the similarity between different musical genres based on their music stretching resistance. In addition, the analysis of variance (ANOVA) also supports the findings in this paper by verifying the significance of musical genre in shaping music stretching resistance.

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Notes

  1. 1.

    http://www.top100.cn.

  2. 2.

    http://www.surina.net/soundtouch.

  3. 3.

    https://github.com/chenjun082/msr.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (No. 61373023) and Intelligent Manufacturing Comprehensive Standardization and New Pattern Application Project of Ministry of Industry and Information Technology (Experimental validation of key technical standards for trusted services in industrial Internet). We would like to thank all the volunteers who participated in the listening experiments for their contributions which form the basis of this paper.

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Authors and Affiliations

  1. School of Software, Tsinghua University, Beijing, 100084, China

    Jun Chen & Chaokun Wang

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  1. Jun Chen
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  2. Chaokun Wang
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Correspondence to Chaokun Wang .

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Editors and Affiliations

  1. Department of Industrial Engineering, Inha University, Incheon, Korea (Republic of)

    Wookey Lee

  2. Department of Computer Science, University of Manitoba, Winnipeg, Manitoba, Canada

    Carson K. Leung

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Chen, J., Wang, C. (2019). Investigating the Role of Musical Genre in Human Perception of Music Stretching Resistance. In: Lee, W., Leung, C. (eds) Big Data Applications and Services 2017. BIGDAS 2017. Advances in Intelligent Systems and Computing, vol 770. Springer, Singapore. https://doi.org/10.1007/978-981-13-0695-2_14

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