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

For new participants - Executive summary: (1) The task is to develop a voiceanonymization system for speech data which conceals the speaker's voiceidentity while protecting linguistic content, paralinguistic attributes,intelligibility and naturalness. (2) Training, development and evaluationdatasets are provided in addition to 3 different baseline anonymizationsystems, evaluation scripts, and metrics. Participants apply their developedanonymization systems, run evaluation scripts and submit objective evaluationresults and anonymized speech data to the organizers. (3) Results will bepresented at a workshop held in conjunction with INTERSPEECH 2022 to which allparticipants are invited to present their challenge systems and to submitadditional workshop papers.  For readers familiar with the VoicePrivacy Challenge - Changes w.r.t. 2020:(1) A stronger, semi-informed attack model in the form of an automatic speakerverification (ASV) system trained on anonymized (per-utterance) speech data.(2) Complementary metrics comprising the equal error rate (EER) as a privacymetric, the word error rate (WER) as a primary utility metric, and the pitchcorrelation and gain of voice distinctiveness as secondary utility metrics. (3)A new ranking policy based upon a set of minimum target privacy requirements.

The VoicePrivacy 2022 Challenge Evaluation Plan