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Gerardo Roa Dabike
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Year
Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System
G Roa Dabike, J Barker
Interspeech 2019, 579-583, 2019
322019
THE SHEFFIELD UNIVERSITY SYSTEM FOR THE MIREX 2020: LYRICS TRANSCRIPTION TASK
G Roa Dabike, J Barker
MIREX, 2020
6*2020
The first cadenza signal processing challenge: Improving music for those with a hearing loss
GR Dabike, S Bannister, J Firth, S Graetzer, R Vos, MA Akeroyd, J Barker, ...
arXiv preprint arXiv:2310.05799, 2023
42023
The use of Voice Source Features for Sung Speech Recognition
G Roa Dabike, J Barker
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
2*2021
Muddy, muddled, or muffled? Understanding the perception of audio quality in music by hearing aid users
S Bannister, AE Greasley, TJ Cox, MA Akeroyd, J Barker, B Fazenda, ...
Frontiers in Psychology 15, 1310176, 2024
12024
The Cadenza ICASSP 2024 Grand Challenge
GR Dabike, MA Akeroyd, S Bannister, J Barker, TJ Cox, B Fazenda, J Firth, ...
arXiv preprint arXiv:2310.03480, 2023
12023
The Clarity & Cadenza Challenges
M Akeroyd, W Bailey, S Bannister, J Firth, S Graetzer, G Roa Dabike, Z Tu, ...
Proceedings of the 10th Convention of the European Acoustics Association …, 2024
2024
The Cadenza ICASSP 2024 Grand Challenge
G Roa Dabike, MA Akeroyd, S Bannister, J Barker, TJ Cox, B Fazenda, ...
arXiv e-prints, arXiv: 2310.03480, 2023
2023
A systematic review of measurements of real-world interior car noise for the “Cadenza” machine-learning project
JL Firth, TJ Cox, A Greasley, JP Barker, WM Whitmer, B Fazenda, ...
The Journal of the Acoustical Society of America 153 (3_supplement), A332-A332, 2023
2023
Deep Learning Approaches for Automatic Sung Speech Recognition
G Roa Dabike
University of Sheffield, 2022
2022
Planning The 2nd Cadenza Challenge for Improving Music for People With a Hearing Loss
GR Dabike, MA Akeroyd, S Bannister, J Barker, TJ Cox, B Fazenda, J Firth, ...
DMRN+ 18: Digital Music Research Network One-day Workshop 2023, 0
Automatic Speech Recognition in Music using the ACOMUS Musical Corpus
G Roa, J Barker
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Articles 1–12