Jose M. Iñesta

About Jose M. Iñesta

Jose M. Iñesta, With an exceptional h-index of 25 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidad de Alicante, specializes in the field of Machine Learning, Computer Music, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

End-to-end optical music recognition for pianoform sheet music

Optical music recognition for homophonic scores with neural networks and synthetic music generation

Late multimodal fusion for image and audio music transcription

Neural architectures for exploiting the components of Agnostic Notation in Optical Music Recognition

Decoupling music notation to improve end-to-end Optical Music Recognition

Completing Optical Music Recognition with Agnostic Transcription and Machine Translation

On the use of transformers for end-to-end optical music recognition

Multimodal Audio and Image Music Transcription

Jose M. Iñesta Information

University

Position

___

Citations(all)

2257

Citations(since 2020)

550

Cited By

1919

hIndex(all)

25

hIndex(since 2020)

11

i10Index(all)

60

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Jose M. Iñesta Skills & Research Interests

Machine Learning

Computer Music

Signal Processing

Top articles of Jose M. Iñesta

Title

Journal

Author(s)

Publication Date

End-to-end optical music recognition for pianoform sheet music

International Journal on Document Analysis and Recognition (IJDAR)

Antonio Ríos-Vila

David Rizo

José M Iñesta

Jorge Calvo-Zaragoza

2023/9

Optical music recognition for homophonic scores with neural networks and synthetic music generation

International Journal of Multimedia Information Retrieval

María Alfaro-Contreras

José M Iñesta

Jorge Calvo-Zaragoza

2023/6

Late multimodal fusion for image and audio music transcription

Expert Systems with Applications

María Alfaro-Contreras

Jose J Valero-Mas

José M Iñesta

Jorge Calvo-Zaragoza

2023/4/15

Neural architectures for exploiting the components of Agnostic Notation in Optical Music Recognition

3 rd International Workshop on Reading Music Systems

Marıa Alfaro-Contreras

Jose J Valero-Mas

Jose M Inesta

2022/12

Decoupling music notation to improve end-to-end Optical Music Recognition

Pattern Recognition Letters

María Alfaro-Contreras

Antonio Ríos-Vila

Jose J Valero-Mas

José M Iñesta

Jorge Calvo-Zaragoza

2022/6/1

Completing Optical Music Recognition with Agnostic Transcription and Machine Translation

3 rd International Workshop on Reading Music Systems

Antonio Rıos-Vila

David Rizo

Jorge Calvo-Zaragoza

José M Inesta

2022/12

On the use of transformers for end-to-end optical music recognition

Antonio Ríos-Vila

José M Iñesta

Jorge Calvo-Zaragoza

2022/4/26

Multimodal Audio and Image Music Transcription

3 rd International Workshop on Reading Music Systems

Carlos de la Fuente

Jose J Valero-Mas

Francisco J Castellanos

Jorge Calvo-Zaragoza

María Alfaro-Contreras

...

2022/12

ReadSco: An Open-Source Web-Based Optical Music Recognition Tool

2 nd International Workshop on Reading Music Systems

Antonio Rıos-Vila

Jorge Calvo-Zaragoza

David Rizo

Jose M Inesta

2022/12

End-To-End Full-Page Optical Music Recognition of Monophonic Documents via Score Unfolding

Proceedings of the 4th International Workshop on Reading Music Systems, Online

Antonio Rıos-Vila

José M Inesta

Jorge Calvo-Zaragoza

2022/11

End-to-End Full-Page Optical Music Recognition for Mensural Notation.

Antonio Ríos-Vila

José M Iñesta

Jorge Calvo-Zaragoza

2022/12/4

Multimodal Strategies for Image and Audio Music Transcription: A Comparative Study

María Alfaro-Contreras

Jose J Valero-Mas

José M Iñesta

Jorge Calvo-Zaragoza

2022/8/21

Evaluación multimodal en la metodología ABP del itinerario de Creación y Entretenimiento Digital de Ingeniería Multimedia

Carlos-José Villagrá Arnedo

Francisco J Gallego Durán

Faraón Llorens Largo

Miguel Ángel Lozano Pérez

Rafael Molina Carmona

...

2021

OMR-assisted transcription: a case study with early prints.

María Alfaro-Contreras

David Rizo

José M Inesta

Jorge Calvo-Zaragoza

2021/11

Applying automatic translation for optical music recognition’s encoding step

Applied Sciences

Antonio Ríos-Vila

Miquel Esplà-Gomis

David Rizo

Pedro J Ponce de Leon

José M Iñesta

2021/4/25

Evaluación cuantitativa de las especificaciones de diseño en problemas de síntesis de sonido mediante aprendizaje automático

Jose J Valero-Mas

María Alfaro-Contreras

José M Iñesta

Pedro José Ponce de León Amador

Francisco J Castellanos

...

2021

Preservación del patrimonio musical mediante transcripción asistida por ordenador

David Rizo

Jorge Calvo-Zaragoza

José M Iñesta

2020

Las presentaciones de los proyectos en la metodología ABP del itinerario de Creación y Entretenimiento Digital de cuarto curso del Grado en Ingeniería Multimedia (4606)

Carlos-José Villagrá-Arnedo

Francisco J Gallego-Durán

Faraón Llorens Largo

Miguel Angel Lozano

Rafael Molina-Carmona

...

2020

Bounding edit distance for similarity-based sequence classification on structural pattern recognition

Applied Soft Computing

Juan R Rico-Juan

Jose J Valero-Mas

José M Iñesta

2020/12/1

Retrieving music semantics from optical music recognition by machine translation

Martha E Thomae

Antonio Ríos-Vila

Jorge Calvo-Zaragoza

David Rizo

José M Iñesta

2020

See List of Professors in Jose M. Iñesta University(Universidad de Alicante)

Co-Authors

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