Results 251 to 260 of about 264,944 (322)

Evaluating Electric Guitar Strumming Form as Musically Correct Rhythm And Sharpness Using Wrist-Wom Inertial Motion-Tracking Device

IEEE International Conference on Consumer Electronics, 2022
A wrist-worn inertial motion-tracking device using a commercially available sensor chip has been investigated for a motion evaluation on a chord strumming technique of electric guitar.
Fumiyoshi Kamo, Soichiro Matsushita
semanticscholar   +1 more source

guitAR

CHI '11 Extended Abstracts on Human Factors in Computing Systems, 2011
The guitar is one of the most widespread instruments amongst autodidacts, but even though a huge amount of learning material exists, it is still hard to learn especially without a guitar teacher. In this paper we propose an Augmented Reality application called guitAR that assists guitar students mastering their instrument using a projector phone.
Markus Löchtefeld, Sven Gehring, Ralf Jung 0001, Antonio Krüger   +3 more
openaire   +2 more sources

A Few-Sample Strategy for Guitar Tablature Transcription Based on Inharmonicity Analysis and Playability Constraints

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022
The prominent strategical approaches regarding the problem of guitar tablature transcription rely either on fingering patterns encoding or on the extraction of string-related audio features.
Grigoris Bastas, Stefanos Koutoupis, Maximos A. Kaliakatsos-Papakostas, V. Katsouros, P. Maragos   +4 more
semanticscholar   +1 more source

FretMate: ChatGPT-Powered Adaptive Guitar Learning Assistant

International Conference on Intelligent User Interfaces
Learning to play the guitar poses significant challenges for beginners, who often choose to practice alone to avoid the embarrassment of making mistakes in front of others. This isolation leads to a lack of timely feedback and encouragement, resulting in
Xin Shu, Lei Shi, Jiacheng Cheng, Lingling Ouyang, Mengdi Chu, Xin Shu   +5 more
semanticscholar   +1 more source

Analysis of Isotonic Calibration on Gaussian Naïve Bayes Performance for Guitar Chords Classification

2025 International Conference on Automation and Computation (AUTOCOM)
Music recognition and recommendation is an area of machine learning which is gaining popularity by the day amongst interdisciplinary researchers. Guitar chord classification problem has been making rounds in machine learning enthusiasts for music ...
N. Sharma, Swati Sharma, C. B. Reddy, Manisha A, Bahuguna P, Ankita T   +5 more
semanticscholar   +1 more source

An entirely reverse-engineered finite element model of a classical guitar in comparison with experimental data.

Journal of the Acoustical Society of America, 2021
The classical guitar is a popular string instrument in which the sound results from a coupled mechanical process. The oscillation of the plucked strings is transferred through the bridge to the body, which acts as an amplifier to radiate the sound.
Alexander Brauchler, Pascal Ziegler, P. Eberhard   +2 more
semanticscholar   +1 more source

Guitar-TECHS: An Electric Guitar Dataset Covering Techniques, Musical Excerpts, Chords and Scales Using a Diverse Array of Hardware

IEEE International Conference on Acoustics, Speech, and Signal Processing
Guitar-related machine listening research involves tasks like timbre transfer, performance generation, and automatic transcription. However, small datasets often limit model robustness due to insufficient acoustic diversity and musical content.
Hegel Pedroza, Wallace Abreu, Ryan M. Corey, I. Roman   +3 more
semanticscholar   +1 more source

An Augmented Reality based Web App To Learn Guitar

International Conference on Adaptive and Intelligent Systems, 2022
Guitar is one of the most common instruments and the interest in learning guitar is at an all-time high. A web app which helps users learn guitar using augmented reality has been proposed.
Prathmesh Bhalekar
semanticscholar   +1 more source

GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model

International Society for Music Information Retrieval Conference
We introduce GAPS (Guitar-Aligned Performance Scores), a new dataset of classical guitar performances, and a benchmark guitar transcription model that achieves state-of-the-art performance on GuitarSet in both supervised and zero-shot settings.
Xavier Riley, Zixun Guo, Drew Edwards, Simon Dixon   +3 more
semanticscholar   +1 more source

MIDI-to-Tab: Guitar Tablature Inference via Masked Language Modeling

International Society for Music Information Retrieval Conference
Guitar tablatures enrich the structure of traditional music notation by assigning each note to a string and fret of a guitar in a particular tuning, indicating precisely where to play the note on the instrument. The problem of generating tablature from a
Drew Edwards, Xavier Riley, Pedro Sarmento, Simon Dixon   +3 more
semanticscholar   +1 more source