Singing melody extraction is an important task in the field of music information retrieval
(MIR). The development of data-driven models for this task have achieved great successes …

Convolutional neural network (CNN)-based methods have dominated the recent research of
cover song identification (CSI). A typical example is the ByteCover system we proposed …

As Artificial Intelligence (AI) technologies continue to evolve, their use in generating realistic,
contextually appropriate content has expanded into various domains. Music, an art form and …

Automatic lyric transcription (ALT) refers to transcribing singing voices into lyrics, while
automatic music transcription (AMT) refers to transcribing singing voices into note events, ie …

Singing melody extraction from polyphonic music is a critical and challenging task in music
information retrieval (MIR). However, due to the interfere of the accompaniment and the …

Singing-voice separation is a separation task that involves a singing voice and musical
accompaniment. In this paper, we propose a novel, unsupervised methodology for extracting …

Singing melody extraction (SME) is a critical task in the field of music information retrieval
(MIR). Recently, deep learning based methods have achieved remarkable successes for …

Singing melody extraction is an important task in music information retrieval. In this paper,
we propose a multi-band timefrequency attention network (MTANet) for singing melody …

At present, mainstream melody extraction mostly uses deep learning methods, but there are
still problems: such as incomplete network architecture, lack of research on the importance …

Extracting the melody of a singing voice is an essential task within the realm of music
information retrieval (MIR). Recently, transformer based models have drawn great attention …