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 packet loss problem seriously affects the quality of service in Voiceover IP (VoIP) sceneries. In this paper, we investigated online receiver-basedpacket loss concealment which is much more portable and applicable. Forensuring the speech naturalness, rather than directly processing time-domainwaveforms or separately reconstructing amplitudes and phases in frequencydomain, a flow-based neural vocoder is adopted to generate the substitutionwaveform of lost packet from Mel-spectrogram which is generated from historycontents by a well-designed neural predictor. Furthermore, a waveformsimilarity-based smoothing post-process is created to mitigate thediscontinuity of speech and avoid the artifacts. The experimental results showthe outstanding performance of the proposed method.

A Neural Vocoder Based Packet Loss Concealment Algorithm