In this overview article, we review research on the task of Automatic Chord Estimation (ACE).
The major contributions from the last 14 years of research are summarized, with detailed …

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 …

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 …

Humans have devised a vast array of musical instruments, but the most prevalent instrument
remains the human voice. Thus, techniques for applying audio signal processing methods to …

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 …

This paper makes several contributions to automatic lyrics transcription (ALT) research. Our
main contribution is a novel variant of the Multistreaming Time-Delay Neural Network …

Lyrics-to-audio alignment methods have recently reported impressive results, opening the
door to practical applications such as karaoke and within song navigation. However, most …

Lyrics-to-audio alignment is to automatically align the lyrical words with the mixed singing
audio (singing voice+ musical accompaniment). Such alignment can be achieved with an …