Search Results for author: María Alfaro-Contreras

Found 2 papers, 0 papers with code

Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition

no code implementations28 Apr 2024 María Alfaro-Contreras, Jorge Calvo-Zaragoza

This paper serves to introduce the Align, Minimize and Diversify (AMD) method, a Source-Free Unsupervised Domain Adaptation approach for Handwritten Text Recognition (HTR).

Handwritten Text Recognition HTR +1

Late multimodal fusion for image and audio music transcription

no code implementations6 Apr 2022 María Alfaro-Contreras, Jose J. Valero-Mas, José M. Iñesta, Jorge Calvo-Zaragoza

When addressing this challenge in computational terms, the MIR community follows two lines of research: music documents, which is the case of Optical Music Recognition (OMR), or audio recordings, which is the case of Automatic Music Transcription (AMT).

Information Retrieval Music Information Retrieval +2

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