Helena Cuesta - RankMe

18 papers A 2Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`ch.`	Audio-based Music Retrieval. Information Retrieval: Advanced Topics and Techniques Emilia Gómez, Helena Cuesta, Aggelos Gkiokas, Juan Sebastián Gómez Cañón, Lorenzo Porcaro, Furkan Yesiler
2023	J	`jnl`	Can MusicGen Create Training Data for MIR Tasks? CoRR Nadine Kroher, Helena Cuesta, Aggelos Pikrakis
2023	—	`conf`	DAACI-VoDAn: Improving Vocal Detection with New Data and Methods. EUSIPCO Helena Cuesta, Nadine Kroher, Aggelos Pikrakis, Stojan Djordjevic
2022	—	`—`	Data-driven pitch content description of choral singing recordings. Helena Cuesta
2022	A	`conf`	Multi-Type Outer Product-Based Fusion of Respiratory Sounds for Detecting COVID-19. INTERSPEECH Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
2022	J	`jnl`	Voice Assignment in Vocal Quartets Using Deep Learning Models Based on Pitch Salience. Trans. Int. Soc. Music. Inf. Retr. Helena Cuesta, Emilia Gómez
2021	A	`conf`	Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information. Interspeech Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
2021	J	`jnl`	EIHW-MTG DiCOVA 2021 Challenge System Report. CoRR Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
2021	J	`jnl`	EIHW-MTG: Second DiCOVA Challenge System Report. CoRR Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
2020	—	`conf`	A Deep Learning Based Analysis-Synthesis Framework For Unison Singing. ISMIR Pritish Chandna, Helena Cuesta, Emilia Gómez
2020	J	`jnl`	A Deep Learning Based Analysis-Synthesis Framework For Unison Singing. CoRR Pritish Chandna, Helena Cuesta, Emilia Gómez
2020	J	`jnl`	Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing. Trans. Int. Soc. Music. Inf. Retr. Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, Meinard Müller
2020	—	`conf`	Deep Learning Based Source Separation Applied To Choir Ensembles. ISMIR Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez
2020	J	`jnl`	Deep Learning Based Source Separation Applied To Choir Ensembles. CoRR Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez
2020	—	`conf`	Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. ISMIR Helena Cuesta, Brian McFee, Emilia Gómez
2020	J	`jnl`	Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. CoRR Helena Cuesta, Brian McFee, Emilia Gómez
2019	J	`jnl`	A Framework for Multi-f0 Modeling in SATB Choir Recordings. CoRR Helena Cuesta, Emilia Gómez, Pritish Chandna
2018	J	`jnl`	Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. CoRR Emilia Gómez, Merlijn Blaauw, Jordi Bonada, Pritish Chandna, Helena Cuesta