To assist with the development of intelligent mixing systems, it would be useful to be able to extract the loudness balance of sources in an existing musical mixture. The relative-to-mix loudness level of four instrument groups was predicted using the sources extracted by 12 audio source separation algorithms. The predictions were compared with the ground truth loudness data of the original unm...

BACKGROUND Social media can promote healthy behaviors by facilitating engagement and collaboration among health professionals and the public. Thus, social media is quickly becoming a vital tool for health promotion. While guidelines and trainings exist for public health professionals, there are currently no standardized measures to assess individual social media competency among Certified Healt...

The problem of audio source separation from a monophonic sound mixture having known instrument types but unknown timbres is presented. An improvement to the Probabilistic Latent Component Analysis (PLCA) source separation method is proposed. The technique uses a basis function dictionary to produce a first round PLCA source separation. The PLCA weights are then refined by incorporating note ons...

Microfluidic design has advanced existing protein separation capabilities and supported novel assays. Key metrics for successful protein separations include fast, robust, and sensitive analysis of complex mixtures of bio-macromolecules. Attaining high separation resolution is a chief concern. Here we review recent advances in polymer-based electrophoresis sieving materials that are impacting mi...

In two previous papers, we proposed an audio Informed Source Separation (ISS) system which can achieve the separation of I > 2 musical sources from linear instantaneous stationary stereo (2-channel) mixtures, based on audio signal’s natural sparsity, pre-mix source signals analysis, and side-information embedding (within the mix signal). In the present paper and for the first time, we apply thi...

In this paper, an online score-informed source separation system is proposed under the Non-negative Matrix Factorization (NMF) framework, using parametric instrument models. Each instrument is modelled using a multi-excitation sourcefilter model, which provides the flexibility to model different instruments. The instrument models are initially learned on training excerpts of the same kinds of i...

Fe3O4-PEDOT core-shell nanoparticles were fabricated by acid treatment mediated seeded polymerization and applied for highly efficient separation of heavy metal ions from contaminated waste water with an external magnetic field.