Music transcription is the process of transforming recorded sound of musical performances
into symbolic representations such as sheet music or MIDI files. Extensive research and …

Transformers have drawn attention in the MIR field for their remarkable performance shown
in natural language processing and computer vision. However, prior works in the audio …

Singing melody extraction essentially involves two tasks: one is detecting the activity of a
singing voice in polyphonic music, and the other is estimating the pitch of a singing voice in …

Multi-instrument automatic music transcription (AMT) is a critical but less investigated
problem in the field of music information retrieval (MIR). With all the difficulties faced by …

Melody extraction in polyphonic musical audio is important for music signal processing. In
this paper, we propose a novel streamlined encoder/decoder network that is designed for …

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 …

The multi-instrument transcription task refers to joint recognition of instrument and pitch of
every event in polyphonic music signals generated by one or more classes of music …

Lack of large-scale note-level labeled data is the major obstacle to singing transcription from
polyphonic music. We address the issue by using pseudo labels from vocal pitch estimation …

Vocal melody extraction is an important and challenging task in music information retrieval.
One main difficulty is that, most of the time, various instruments and singing voices are mixed …

Whistle contour extraction aims to derive animal whistles from time-frequency spectrograms
as polylines. For toothed whales, whistle extraction results can serve as the basis for …