Motohiro Sunouchi
ABSTRACT
Sound designers and musicians often need to retrieve sound materials based on their similarity to aesthetic hearing experiences from sound databases such as Freesound. This study proposes an aesthetic experience-oriented evaluation framework for a field-recording sound retrieval system, using the sound clips extracted from Freesound. Furthermore, we discuss the features of the framework by analyzing the performance of the similarity search system for field-recording sound material using acoustic feature signatures that are based on the multiscale fractal dimension.
- V. Akkermans, F. Font, J. Funollet, B. de Jong, G. Roma, S. Togias, and X. Serra, “FREESOUND 2.0: An Improved Platformfor Sharing Audio Clips,” 12th Int. Soc. Music Inf. Retr. Conf., (2011).Google Scholar
- Music Technology Group of Universitat Pompeu Fabra, “The Freesound Project.,” https://www.freesound.org/Google Scholar
- Distributed Creation Inc., "Splice - Royalty-Free Sounds & Rent-to-Own Plugins," Retrieved Feb 4, 2021 from https://splice.com/Google Scholar
- S. Chachada and C. C. J. Kuo, “Environmental sound recognition: A survey,” APSIPA Trans. Signal Inf. Process., vol. 3, (2014).Google ScholarCross Ref
- D. Stowell, D. Giannoulis, E. Benetos, M. Lagrange, and M. D. Plumbley, “Detection and Classification of Acoustic Scenes and Events,” IEEE Trans. Multimed., vol. 17, no. 10, pp. 1733–1746, (2015).Google ScholarDigital Library
- S. Chu, S. Narayanan, and C.-C. Kuo, “Environmental Sound Recognition With Time-Frequency Audio Features,” IEEE Trans. Audio. Speech. Lang. Processing, vol. 17, no. 6, pp. 1142–1158, (2009).Google ScholarDigital Library
- M. Solomos, “A Phenomenological Experience of Sound: Notes on Francisco López,” Contemp. Music Rev., vol. 38, no. 1–2, pp. 94–106, 2019.Google ScholarCross Ref
- M. Sunouchi, and Y. Tanaka, “Similarity Search of Freesound Environmental Sound Based on Their Enhanced Multiscale Fractal Dimension,” Sound Music Comput. Conf. 2013, SMC 2013, pp. 715–721, (2013).Google Scholar
- M. Sunouchi, and M. Yoshioka. "Diversity-Robust Acoustic Feature Signatures Based on Multiscale Fractal Dimension for Similarity Search of Environmental Sounds." arXiv preprint arXiv:2102.02964 (2021).Google Scholar
- "Sound Dataset extracted from Freesound," Online available. https://labs.43d.jp/fs3000_dataset/fs3000_dataset.tar.bz2 (17GB)Google Scholar
- M. Porter, “An algorithm for suffix stripping,” Progr. Electron. Libr. Inf. Syst., vol. 14, no. 3, pp. 130–137, (1980).Google ScholarCross Ref
- P. Maragos and A. Potamianos, “Fractal dimensions of speech sounds: computation and application to automatic speech recognition.” J. Acoust. Soc. Am., vol. 105, no. 3, pp. 1925–1932, (1999).Google ScholarCross Ref
- A. Zlatintsi and P. Maragos, “Multiscale Fractal Analysis of Musical Instrument Signals With Application to Recognition,” IEEE Trans. Audio. Speech. Lang. Processing, vol. 21, no. 4, pp. 737–748, (2013).Google ScholarDigital Library
- SPTK working group, “Speech Signal Processing Toolkit (SPTK),” http://sp-tk.sourceforge.net/, (Retrieved 2021-2-4).Google Scholar
- Y. Wang, L. Wang, Y. Li, D. He, T.-Y. Liu, and W. Chen, “A Theoretical Analysis of NDCG Type Ranking Measures,” Proc. 26th Annu. Conf. Learn. Theory, pp. 1–30, 2013.Google Scholar
Index Terms
- Proposal of the Aesthetic Experience-Oriented Evaluation Framework for Field-recording Sound Retrieval System: Experiments using Acoustic Feature Signatures Based on Multiscale Fractal Dimension
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