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

With active research in audio compression techniques yielding substantialbreakthroughs, spectral reconstruction of low-quality audio waves remains aless indulged topic. In this paper, we propose a novel approach forreconstructing higher frequencies from considerably longer sequences oflow-quality MP3 audio waves. Our technique involves inpainting audiospectrograms with residually stacked autoencoder blocks by manipulatingindividual amplitude and phase values in relation to perceptual differences.Our architecture presents several bottlenecks while preserving the spectralstructure of the audio wave via skip-connections. We also compare several taskmetrics and demonstrate our visual guide to loss selection. Moreover, we showhow to leverage differential quantization techniques to reduce the initialmodel size by more than half while simultaneously reducing inference time,which is crucial in real-world applications.

Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences