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

2018/07/09 by Emília Gómez, Merlijn Blaauw, Gómez, Emilia +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

paper · pdf · doi:10.48550/arxiv.1807.03046

openalex publication_date 2018/07/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper summarizes some recent advances on a set of tasks related to the processing of singing using state-of-the-art deep learning techniques. We discuss their achievements in terms of accuracy and sound quality, and the current challenges, such as availability of data and computing resources. We also discuss the impact that these advances do and will have on listeners and singers when they are integrated in commercial applications.

Cited by

• An analysis of Iranian Music Intervals based on Pitch Histogram
• Content based singing voice source separation via strong conditioning using aligned phonemes

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