In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

Lyrics transcription of polyphonic music is challenging as the background music affects lyrics
intelligibility. Typically, lyrics transcription can be performed by a two-step pipeline, ie a …

The current lyrics transcription approaches heavily rely on supervised learning with labeled
data, but such data are scarce and manual labeling of singing is expensive. How to benefit …

The tasks of automatic lyrics transcription and lyrics alignment have witnessed significant
performance improvements in the past few years. However, most of the previous works only …

We introduce MIR-MLPop, a publicly available multilingual pop music dataset designed for
automatic lyrics transcription and lyrics alignment in polyphonic music. The dataset …

Music source separation aims to separate polyphonic music into different types of sources.
Most existing methods focus on enhancing the quality of separated results by using a larger …

Abstract Automatic Lyrics Transcription of polyphonic music (ALTP) aims to recognize the
sung lyrics from singing vocals in the presence of instrumental music accompaniment, and it …