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Note Recognition from Monophonic Audio: A Clustering …
https://link.springer.com/chapter/10.1007/978-3-642-18449-9_5
Abstract. We describe a new method for recognizing notes from monophonic audio, such as sung or whistled queries. Our method achieves results similar to known methods, but without any probabilistic models that would need to be trained. Instead, we define a distance function for audio frames that captures three criteria of closeness which usually coincide with …
Note Recognition from Monophonic Audio: A Clustering ...
https://www.researchgate.net/publication/221367640_Note_Recognition_from_Monophonic_Audio_A_Clustering_Approach
Request PDF | Note Recognition from Monophonic Audio: A Clustering Approach | We describe a new method for recognizing notes from monophonic audio, such as …
MONOPHONIC INSTRUMENT SOUND SEGREGATION BY …
https://ismir2010.ismir.net/proceedings/ismir2010-64.pdf
taneously. Our approach is to classify NMF components into each instrument based on basis spectrum vector sim-ilarity and temporal activity disjointness. Our clustering employs a hierarchical clustering algorithm: group average method (GAM). The efficiency of our approach is evalu-ated by some experiments. 1. INTRODUCTION
A Musical Approach to Monophonic Audio …
http://cs.northwestern.edu/~jlh482/downloads/termPaper.pdf
two notes at the same time, it sets the second note to start immediately after the first note. This is done since the original audio was monophonic and it is impossible for there to be any polyphony. Once all the distances are measured, the onsets and durations are set to the closest values. The resulting matrix is then exported to a midi file. 3.
A Clustering Approach for the Nearly Unsupervised ...
https://aclanthology.org/E06-1042.pdf
A Clustering Approach for the Nearly Unsupervised Recognition of Nonliteral Language∗ Julia Birke and Anoop Sarkar School of Computing Science, Simon Fraser University Burnaby, BC, V5A 1S6, Canada [email protected], [email protected] Abstract In this paper we present TroFi (Trope Finder), a system for automatically classi-
CiteSeerX — Audio Engineering Society
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.7193
We deal with mixtures where several instruments are present in a monophonic recording. The approach consists in clustering the spectral peaks of the mixture to obtain a spectral representation of each musical note. These spectra are then used to …
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