Melody extraction from polyphonic music signals: Approaches, applications, and challenges
Melody extraction algorithms aim to produce a sequence of frequency values corresponding
to the pitch of the dominant melody from a musical recording. Over the past decade, melody …
to the pitch of the dominant melody from a musical recording. Over the past decade, melody …
An overview of lead and accompaniment separation in music
Popular music is often composed of an accompaniment and a lead component, the latter
typically consisting of vocals. Filtering such mixtures to extract one or both components has …
typically consisting of vocals. Filtering such mixtures to extract one or both components has …
A consolidated perspective on multimicrophone speech enhancement and source separation
Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …
commercial applications in devices as diverse as mobile phones, conference call systems …
Music source separation with band-split RNN
The performance of music source separation (MSS) models has been greatly improved in
recent years thanks to the development of novel neural network architectures and training …
recent years thanks to the development of novel neural network architectures and training …
Melody extraction from polyphonic music signals using pitch contour characteristics
We present a novel system for the automatic extraction of the main melody from polyphonic
music recordings. Our approach is based on the creation and characterization of pitch …
music recordings. Our approach is based on the creation and characterization of pitch …
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
Identifying musical instruments in polyphonic music recordings is a challenging but
important problem in the field of music information retrieval. It enables music search by …
important problem in the field of music information retrieval. It enables music search by …
From blind to guided audio source separation: How models and side information can improve the separation of sound
Audio is a domain where signal separation has long been considered as a fascinating
objective, potentially offering a wide range of new possibilities and experiences in …
objective, potentially offering a wide range of new possibilities and experiences in …
[PDF][PDF] A Comparison of Sound Segregation Techniques for Predominant Instrument Recognition in Musical Audio Signals.
The authors address the identification of predominant music instruments in polytimbral audio
by previously dividing the original signal into several streams. Several strategies are …
by previously dividing the original signal into several streams. Several strategies are …
Singing voice enhancement in monaural music signals based on two-stage harmonic/percussive sound separation on multiple resolution spectrograms
We propose a novel singing voice enhancement technique for monaural music audio
signals, which is a quite challenging problem. Many singing voice enhancement techniques …
signals, which is a quite challenging problem. Many singing voice enhancement techniques …
Towards data-driven quality monitoring for advanced metal inert gas welding processes in body-in-white
M Luttmer, M Weigold, H Thaler, J Dongus… - Journal of Manufacturing …, 2024 - Elsevier
In recent years, numerous monitoring approaches have been developed in the field of
intelligent welding manufacturing to predict quality-related characteristics using process …
intelligent welding manufacturing to predict quality-related characteristics using process …