Helena Cuesta

According to our database, Helena Cuesta authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Audio-based Music Retrieval.

Emilia Gómez, Helena Cuesta, Aggelos Gkiokas, Juan Sebastián Gómez Cañón, Lorenzo Porcaro, Furkan Yesiler

Proceedings of the Information Retrieval: Advanced Topics and Techniques., 2024

2023

Can MusicGen Create Training Data for MIR Tasks?

Nadine Kroher, Helena Cuesta, Aggelos Pikrakis

CoRR, 2023

DAACI-VoDAn: Improving Vocal Detection with New Data and Methods.

Helena Cuesta, Nadine Kroher, Aggelos Pikrakis, Stojan Djordjevic

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Data-driven pitch content description of choral singing recordings.

Helena Cuesta

PhD thesis, 2022

Voice Assignment in Vocal Quartets Using Deep Learning Models Based on Pitch Salience.

Helena Cuesta, Emilia Gómez

Trans. Int. Soc. Music. Inf. Retr., 2022

Multi-Type Outer Product-Based Fusion of Respiratory Sounds for Detecting COVID-19.

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

EIHW-MTG: Second DiCOVA Challenge System Report.

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller

CoRR, 2021

EIHW-MTG DiCOVA 2021 Challenge System Report.

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller

CoRR, 2021

Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information.

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing.

Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, Meinard Müller

Trans. Int. Soc. Music. Inf. Retr., 2020

Deep Learning Based Source Separation Applied To Choir Ensembles.

Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks.

Helena Cuesta, Brian McFee, Emilia Gómez

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

A Deep Learning Based Analysis-Synthesis Framework For Unison Singing.

Pritish Chandna, Helena Cuesta, Emilia Gómez

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

A Framework for Multi-f0 Modeling in SATB Choir Recordings.

Helena Cuesta, Emilia Gómez, Pritish Chandna

CoRR, 2019

2018

Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners.

Emilia Gómez, Merlijn Blaauw, Jordi Bonada, Pritish Chandna, Helena Cuesta

CoRR, 2018