A musical performance renders an acoustic realization of a musical score or other
representation of a composition. Different performances of the same composition may vary …

The guitar is a popular instrument for a variety of reasons, including its ability to produce
polyphonic sound and its musical versatility. The resulting variability of sounds, however …

The expressive variability in producing a musical note conveys information essential to the
modeling of orchestration and style. As such, it plays a crucial role in computer-assisted …

Deep learning algorithms are increasingly developed for learning to compose music in the
form of MIDI files. However, whether such algorithms work well for composing guitar tabs …

Originating in the Renaissance and burgeoning in the digital era, tablatures are a commonly
used music notation system which provides explicit representations of instrument fingerings …

Current music emotion recognition (MER) systems rely on emotion data averaged across
listeners and over time to infer the emotion expressed by a musical piece, often neglecting …

For a complete transcription of a guitar performance, the detection of playing techniques
such as bend and vibrato is important, because playing techniques suggest how the melody …

Despite the popularity of guitar effects, there is very little existing research on classification
and parameter estimation of specific plugins or effect units from guitar recordings. In this …

The employment of playing techniques such as string bend and vibrato in electric guitar
performance makes it difficult to transcribe the note events using general note tracking …

In this paper, we propose a new dataset named EGDB, that contains transcriptions of the
electric guitar performance of 240 tablatures rendered with different tones. Moreover, we …