This survey paper provides a comprehensive overview of the recent advancements and
challenges in applying large language models to the field of audio signal processing. Audio …

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 are the words that make up a song, while chords are harmonic sets of multiple notes
in music. Lyrics and chords are generally essential information in music, ie unaccompanied …

This article presents a multimodal dataset comprising various representations and
annotations of Franz Schubert's song cycle Winterreise. Schubert's seminal work constitutes …

Automatic lyrics alignment and transcription in polyphonic music are challenging tasks
because the singing vocals are corrupted by the background music. In this work, we propose …

We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic lyrics transcription
method achieving state-of-the-art performance on various lyrics transcription datasets, even …

Automatic speech recognition (ASR) has progressed significantly in recent years due to the
emergence of large-scale datasets and the self-supervised learning (SSL) paradigm …

The goal of singing voice separation is to recover the vocals signal from music mixtures.
State-of-the-art performance is achieved by deep neural networks trained in a supervised …

Lyrics transcription of polyphonic music is challenging not only because the singing vocals
are corrupted by the background music, but also because the background music and the …

Singing, the vocal productionof musical tones, is one of the most important elements of
music. Addressing the needs of real-world applications, the study of technologies related to …