  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.
