• GuitarSet - A dataset for guitar transcription;
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• Robotaba - Automatic Guitar Tablature Transcription Online;
• Automatic Guitar Tablature Transcription Online - A thesis submitted to McGill University by Gregory D. Burlet;
• A segmentation-based prototype to compute string instruments fingering - A computational model based on a graph search representation by RADICIONI et al;
• Automatic Real-Time Electric Guitar Audio Transcription - A real-time electric guitar transcription based on polyphonic pitch detection, fundamental frequencies detection and classification, by Xander Fiss and Andres Kwasinski;
• Automatic Transcription of Guitar Chords and Fingering from Audio - A method for extracting the fingering configurations automatically from a recorded guitar performance using HMMs, by BARBANCHO et al;
• Isolated guitar transcription using a deep belief network - Isolated guitar transcription using a deep belief network by BURLET and HINDLE;
• Diferentes abordagens evolutivas aplicadas no processo de transcrição automática de partituras musicais em tablaturas - Evolutive algorithms for guitar transcription (in Portuguese);

• Onsets and Frames: Dual-Objective Piano Transcription - A polyphonic piano music transcription using a deep convolutional and recurrent neural network by HAWTHORNE, C. et al;
• [Music Theory Inspired Policy Gradient Method for Piano Music Transcription] (https://nips2018creativity.github.io/doc/music_theory_inspired_policy_gradient.pdf) - A reinforcement deep learning algorithm for piano transcription, by LI, J.; QU, S.;
• Adversarial Learning for Improved Onsets and Frames Music Transcription - A GAN for Automatic Music Transcription (AMT), by KIM and BELLO;
• Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model - Statistical method for estimating musical scores for lead, bass and rhythm guitars;
• Multitask Learning for Polyphonic Piano Transcription, a Case Study Rainer

• Audiogram - Turn audio into a shareable video;

BARBANCHO, A. M. et al. Automatic Transcription of Guitar Chords and Fingering from Audio. IEEE Transactions on Audio, Speech and Language Processing, [s.l.], v. 20, no 3, p. 915–921, 2012. ISSN: 15587924, DOI: 10.1109/TASL.2011.2174227.

BURLET, G. D. Automatic Guitar Tablature Transcription Online. McGill University Libraries, [s.l.], no April, 2013.

BURLET, G.; HINDLE, A. Isolated guitar transcription using a deep belief network. PeerJ Computer Science, [s.l.], v. 2017, no 3, 2017. ISSN: 23765992, DOI: 10.7717/peerj-cs.109.

FISS, X.; ANDRES, K. AUTOMATIC REAL-TIME ELECTRIC GUITAR AUDIO TRANSCRIPTION Xander Fiss , Andres Kwasinski Department of Computer Engineering , Rochester Institute of Technology , Rochester , NY. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), [s.l.], p. 373–376, 2011. ISBN: 9781457705397.

HAWTHORNE, C. et al. Onsets and Frames: Dual-Objective Piano Transcription. [s.l.], 2017.

LI, J.; QU, S. Music Theory Inspired Policy Gradient Method for Piano Music Transcription. [s.l.], no Nips, p. 1–10, 2018.

KELZ, R.; BOCK, S.; WIDNAER, C. Multitask learning for polyphonic piano transcription, a case study. Proceedings - 2019 International Workshop on Multilayer Music Representation and Processing, MMRP 2019, [s.l.], p. 85–91, 2019. ISBN: 9781728116495, DOI: 10.1109/MMRP.2019.8665372.

KIM, J. W.; BELLO, J. P. Adversarial Learning for Improved Onsets and Frames Music Transcription. [s.l.], 2019.

RADICIONI, D.; ANSELMA, L.; LOMBARDO, V. A segmentation-based prototype to compute string instruments fingering. Proceedings of the Conference …, [s.l.], no May, 2004.

RAMOS, JOÃO VÍCTOR; SANCHES, DANILO SIPOLI; SILLA JUNIOR, C. N. Diferentes abordagens evolutivas aplicadas no processo de transcrição automática de partituras musicais em tablaturas. 105 p. - Universidade Tecnológica Federal do Paraná, 2016. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&db=cat07269a&AN=utfpr.277940&lang=pt-br&site=eds-live&scope=site.

SHIBATA, K. et al. Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, [s.l.], v. 2019-May, p. 236–240, 2019. ISBN: 9781479981311, ISSN: 15206149, DOI: 10.1109/ICASSP.2019.8682817.

XI, Q. et al. GuitarSet: a Dataset for Guitar Transcription. 19th International Society for Music Information Retrieval Conference, [s.l.], 2018.