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Signal Processing Commons

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Full-Text Articles in Signal Processing

Real-Time Musical Analysis Of Polyphonic Guitar Audio, John E. Hartquist Jun 2012

Real-Time Musical Analysis Of Polyphonic Guitar Audio, John E. Hartquist

Master's Theses

In this thesis, we analyze the audio signal of a guitar to extract musical data in real-time. Specifically, the pitch and octave of notes and chords are displayed over time. Previous work has shown that non-negative matrix factorization is an effective method for classifying the pitches of simultaneous notes. We explore the effect of window size, hop length, and other parameters to maximize the resolution and accuracy of the output.

Other groups have required prerecorded note samples to build a library of note templates to search for. We automate this step and compute the library at run-time, tuning it specifically …


Relative Performance Of Mutual Information Estimation Methods For Quantifying The Dependence Among Short And Noisy Data, Shiraj Khan, Sharba Bandyopadhyay, Auroop R. Ganguly, Sunil Saigal, David J. Erickson Iii, Vladimir Protopopescu, George Ostrouchov Jan 2012

Relative Performance Of Mutual Information Estimation Methods For Quantifying The Dependence Among Short And Noisy Data, Shiraj Khan, Sharba Bandyopadhyay, Auroop R. Ganguly, Sunil Saigal, David J. Erickson Iii, Vladimir Protopopescu, George Ostrouchov

Auroop R. Ganguly

Commonly used dependence measures, such as linear correlation, cross-correlogram, or Kendall's τ, cannot capture the complete dependence structure in data unless the structure is restricted to linear, periodic, or monotonic. Mutual information (MI) has been frequently utilized for capturing the complete dependence structure including nonlinear dependence. Recently, several methods have been proposed for the MI estimation, such as kernel density estimators (KDEs), k-nearest neighbors (KNNs), Edgeworth approximation of differential entropy, and adaptive partitioning of the XY plane. However, outstanding gaps in the current literature have precluded the ability to effectively automate these methods, which, in turn, have caused limited adoptions …