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

With the proliferation of video platforms on the internet, recording musicalperformances by mobile devices has become commonplace. However, theserecordings often suffer from degradation such as noise and reverberation, whichnegatively impact the listening experience. Consequently, the necessity formusic audio enhancement (referred to as music enhancement from this pointonward), involving the transformation of degraded audio recordings intopristine high-quality music, has surged to augment the auditory experience. Toaddress this issue, we propose a music enhancement system based on theConformer architecture that has demonstrated outstanding performance in speechenhancement tasks. Our approach explores the attention mechanisms of theConformer and examines their performance to discover the best approach for themusic enhancement task. Our experimental results show that our proposed modelachieves state-of-the-art performance on single-stem music enhancement.Furthermore, our system can perform general music enhancement with multi-trackmixtures, which has not been examined in previous work.

Exploiting Time-Frequency Conformers for Music Audio Enhancement