Stöter FR, Müller M, Edler B (2015)
Publication Type: Conference contribution
Publication year: 2015
City/Town: Brisbane, Australia
Pages Range: 995-998
Conference Proceedings Title: Proceedings of the 23rd ACM international conference on multimedia (ACM-MM) 2015
Estimating the fundamental frequency (F0) of a signal is a well studied task in audio signal processing with many applications. If the F0 varies over time, the complexity increases, and it is also more difficult to provide ground truth data for evaluation. In this paper we present a novel dataset of cello recordings addressing the lack of reference annotations for musical instruments. Besides audio data, we include sensor recordings capturing the finger position on the fingerboard which is converted into an instantaneous frequency estimate. In speech processing, the electroglottograph (EGG) is able to capture the excitation signal of the vocal tract, which is then used to generate a reference instantaneous F0. Inspired by this approach, we included high speed video camera recordings to extract the excitation signal originating from the moving string. The derived data can be used to analyze vibratos --- a very commonly used playing style. The dataset is released under a Creative Commons license.
APA:
Stöter, F.-R., Müller, M., & Edler, B. (2015). Multi-Sensor Cello Recordings for Instantaneous Frequency Estimation. In Proceedings of the 23rd ACM international conference on multimedia (ACM-MM) 2015 (pp. 995-998). Brisbane, Australia.
MLA:
Stöter, Fabian-Robert, Michael Müller, and Bernd Edler. "Multi-Sensor Cello Recordings for Instantaneous Frequency Estimation." Proceedings of the Proceedings of the 23rd ACM international conference on multimedia (ACM-MM) 2015 Brisbane, Australia, 2015. 995-998.
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