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

Diarization of audio recordings from ad-hoc mobile devices using spatialinformation is considered in this paper. A two-channel synchronous recording isassumed for each mobile device, which is used to compute directional statisticsseparately at each device in a frame-wise manner. The recordings across themobile devices are asynchronous, but a coarse synchronization is performed byaligning the signals using acoustic events, or real-time clock. Directionstatistics computed for all the devices, are then modeled jointly using aDirichlet mixture model, and the posterior probability over the mixturecomponents is used to derive the diarization information. Experiments on reallife recordings using mobile phones show a diarization error rate of less than14%.

Latent variable approach to diarization of audio recordings using ad-hoc randomly placed mobile devices