Cuesta, Helena

1. Deep Learning Based Source Separation Applied To Choir Ensembles
   2020/08/17 by Darius Petermann, Pritish Chandna, Petermann, Darius +7 · 4 citations
   Computer Science · Engineering · #Acoustic Wave Phenomena Research #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
2. Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks
   2020/09/09 by Cuesta, Helena, McFee, Brian, Gómez, Emilia · 3 citations
   #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
3. Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners
   2018/07/09 by Emília Gómez, Gómez, Emilia, Merlijn Blaauw +7 · 2 citations
   Computer Science · #97M80 #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimedia (cs.MM) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
4. A Framework for Multi-f0 Modeling in SATB Choir Recordings
   2019/04/10 by Helena Cuesta, Emília Gómez, Cuesta, Helena +3 · 1 citation
   Arts and Humanities · Computer Science · #Audio and Speech Processing (eess.AS) #Diverse Musicological Studies #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multimedia (cs.MM) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #electronic engineering #information engineering