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 …

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 …

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 …

We present and release Omnizart, a new Python library that provides a streamlined solution
to automatic music transcription (AMT). Omnizart encompasses modules that construct the …

The melody extraction problem is analogue to semantic segmentation on a time-frequency
image, in which every pixel on the image is classified as a part of a melody object or not …

The Holy Qur'an is among the most recited and memorized books in the world. For
beautification of Qur'anic recitation, almost all reciters around the globe perform their …

Convolutional neural networks with skip connections have shown good performance in
music source separation. In this work, we propose a denoising Auto-encoder with Recurrent …

Melody extraction is a vital music information retrieval task among music researchers for its
potential applications in education pedagogy and the music industry. Melody extraction is a …

Singing melody extraction is an important problem in the field of music information retrieval.
Existing methods typically rely on frequency-domain representations to estimate the sung …