Note and Playing Technique Transcription of Electric Guitar Solos in Real-World Music Performance

Author:

Huang Tung-Sheng1,Yu Ping-Chung1,Su Li1

Affiliation:

1. Academia Sinica,Institute of Information Science,Taiwan

Funder

National Science and Technology Council

Publisher

IEEE

Reference28 articles.

1. Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model

2. GuitarSet: A dataset for guitar transcription;xi;International Society for Music Information Retrieval Conference (ISMIR),2018

3. Guitar tablature estimation with a convolutional neural network;wiggins;International Society for Music Information Retrieval Conference (ISMIR),2019

4. A data-driven methodology for considering feasibility and pairwise likelihood in deep learning based guitar tablature transcription systems;cwitkowitz;Sound and Music Computing conference (SMC),2022

5. Towards Automatic Transcription of Polyphonic Electric Guitar Music: A New Dataset and a Multi-Loss Transformer Model

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1. On the Importance of Temporally Precise Onset Annotations for Real-Time Music Information Retrieval: Findings from the AG-PT-set Dataset;Audio Mostly 2024 - Explorations in Sonic Cultures;2024-09-18

2. Mertech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model with Multi-Task Finetuning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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