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End-To-End Music Transcription Using Fine-Tuned Variable-Q Filterbanks, Frank C. Cwitkowitz Jr
End-To-End Music Transcription Using Fine-Tuned Variable-Q Filterbanks, Frank C. Cwitkowitz Jr
Theses
The standard time-frequency representations calculated to serve as features for musical audio may have reached the extent of their effectiveness. General-purpose features such as Mel-Frequency Spectral Coefficients or the Constant-Q Transform, while being pyschoacoustically and musically motivated, may not be optimal for all tasks. As large, comprehensive, and well-annotated musical datasets become increasingly available, the viability of learning from the raw waveform of recordings widens. Deep neural networks have been shown to perform feature extraction and classification jointly. With sufficient data, optimal filters which operate in the time-domain may be learned in place of conventional time-frequency calculations. Since the spectrum …
Music Consumption In The Dominican Republic: Technological Changes, Uses, And Gratifications, Frank R. Lantigua
Music Consumption In The Dominican Republic: Technological Changes, Uses, And Gratifications, Frank R. Lantigua
Theses
Music consumption has been transformed by technological changes during the last three decades; the introduction of streaming technologies and the expansion of the global music market have changed the way people in various countries engage with music in daily life. Previous research on music consumption points to the uses and gratifications often sought by audiences, as well as the motives that drive their consumption habits. While most studies have centered on audiences from the developing world, this study focuses particularly on music consumption in the Dominican Republic. The data was collected through an online survey that inquired about the platforms …