English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Spectral envelope is one of the most important features that characterize thetimbre of an instrument sound. However, it is difficult to use spectralinformation in the framework of conventional spectrogram decomposition methods.We overcome this problem by suggesting a simple way to provide a constraint onthe spectral envelope calculated by linear prediction. In the first part ofthis study, we use a pre-trained spectral envelope of known instruments as theconstraint. Then we apply the same idea to a blind scenario in which theinstruments are unknown. The experimental results reveal that the proposedmethod outperforms the conventional methods.

Separation of Instrument Sounds using Non-negative Matrix Factorization with Spectral Envelope Constraints