Music remixing is difficult when the original multitrack recording is not available. One solution is to estimate the elements of a mixture using source separation. However, existing techniques suffer from imperfect separation and perceptible artifacts on single separated sources. To investigate their influence on a remix, five state-of-the-art source separation algorithms were used to remix six songs by increasing the level of the vocals. A listening test was conducted to assess the remixes in terms of loudness balance and sound quality. The results show that some source separation algorithms are able to increase the level of the vocals by up to 6 dB at the cost of introducing a small but perceptible degradation in sound quality
Active listening consists in interacting with the music playing and has numerous potential applicati...
In recent years, source separation has been a central research topic in music signal processing, wit...
Stimuli for the paper H. Wierstorf, D. Ward, R. Mason, E. M. Grais, C. Hummersone, M. D. Plumbley, ...
Current research on audio source separation provides tools to estimate the signals contributed by di...
To assist with the development of intelligent mixing systems, it would be useful to be able to extra...
Many people listen to recorded music as part of their everyday lives, for example from radio or TV p...
International audienceWhen processing a sound recording, sound engineers often face the need to appl...
Audio source separation is a difficult machine learning problem and performance is measured by compa...
Despite phenomenal progress in recent years, state-of-the-art music separation systems produce sourc...
International audienceSeparation of existing audio into remixable elements is very useful to repurpo...
In music production, there are many tools available to an audio engineer throughout the mixing proce...
The structured arrangement of sounds in musical pieces, results in the unique creation of complex ac...
All the files you need to rerun the experiment described in the paper: H. Wierstorf, D. Ward, R. Ma...
Popular music is often composed of an accompaniment and a lead component, the latter typically consi...
The relation of music production practices to preference is still poorly understood. Due to the high...
Active listening consists in interacting with the music playing and has numerous potential applicati...
In recent years, source separation has been a central research topic in music signal processing, wit...
Stimuli for the paper H. Wierstorf, D. Ward, R. Mason, E. M. Grais, C. Hummersone, M. D. Plumbley, ...
Current research on audio source separation provides tools to estimate the signals contributed by di...
To assist with the development of intelligent mixing systems, it would be useful to be able to extra...
Many people listen to recorded music as part of their everyday lives, for example from radio or TV p...
International audienceWhen processing a sound recording, sound engineers often face the need to appl...
Audio source separation is a difficult machine learning problem and performance is measured by compa...
Despite phenomenal progress in recent years, state-of-the-art music separation systems produce sourc...
International audienceSeparation of existing audio into remixable elements is very useful to repurpo...
In music production, there are many tools available to an audio engineer throughout the mixing proce...
The structured arrangement of sounds in musical pieces, results in the unique creation of complex ac...
All the files you need to rerun the experiment described in the paper: H. Wierstorf, D. Ward, R. Ma...
Popular music is often composed of an accompaniment and a lead component, the latter typically consi...
The relation of music production practices to preference is still poorly understood. Due to the high...
Active listening consists in interacting with the music playing and has numerous potential applicati...
In recent years, source separation has been a central research topic in music signal processing, wit...
Stimuli for the paper H. Wierstorf, D. Ward, R. Mason, E. M. Grais, C. Hummersone, M. D. Plumbley, ...