More than words: Advancements and Challenges in Speech Recognition for Singing
- This paper addresses the challenges and advancements in speech recognition for singing, a domain distinctly different from standard speech recognition. Singing encompasses unique challenges, including extensive pitch variations, diverse vocal styles, and background music interference. We explore key areas such as phoneme recognition, language identification in songs, keyword spotting, and full lyrics transcription. I will describe some of my own experiences when performing research on these tasks just as they were starting to gain traction, but will also show how recent developments in deep learning and large-scale datasets have propelled progress in this field. My goal is to illuminate the complexities of applying speech recognition to singing, evaluate current capabilities, and outline future research directions.
Author: | Anna Kruspe |
---|---|
URN: | urn:nbn:de:bvb:898-opus4-70748 |
DOI: | https://doi.org/10.35096/othr/pub-7074 |
ISBN: | 978-3-95908-325-6 |
Parent Title (German): | Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 |
Publisher: | TUDpress |
Place of publication: | Dresden |
Editor: | Timo Baumann |
Document Type: | conference proceeding (article) |
Language: | English |
Year of first Publication: | 2024 |
Publishing Institution: | Ostbayerische Technische Hochschule Regensburg |
Release Date: | 2024/04/09 |
First Page: | 1 |
Last Page: | 10 |
Andere Schriftenreihe: | Studientexte zur Sprachkommunikation ; 107 |
Institutes: | Fakultät Informatik und Mathematik |
Publication: | Externe Publikationen |
research focus: | Information und Kommunikation |
Licence (German): | Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG |