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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The acoustic space in which a sound is created and heard plays an essentialrole in how that sound is perceived by affording a unique sense of\textit{presence}. Every sound we hear results from successive convolutionoperations intrinsic to the sound source and external factors such asmicrophone characteristics and room impulse responses. Typically, researchersuse an excitation such as a pistol shot or balloon pop as an impulse signalwith which an auralization can be created. The room "impulse" responsesconvolved with the signal of interest can transform the input sound into thesound played in the acoustic space of interest. Here we propose a novelarchitecture that can transform a sound of interest into any other acousticspace(room or hall) of interest by using arbitrary audio recorded as a proxyfor a balloon pop. The architecture is grounded in simple signal processingideas to learn residual signals from a learned acoustic signature and the inputsignal. Our framework allows a neural network to adjust gains of every point inthe time-frequency representation, giving sound qualitative and quantitativeresults.

One-Shot Acoustic Matching Of Audio Signals -- Learning to Hear Music In Any Room/ Concert Hall