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 ConferencingSpeech 2021 challenge is proposed to stimulate research onfar-field multi-channel speech enhancement for video conferencing. Thechallenge consists of two separate tasks: 1) Task 1 is multi-channel speechenhancement with single microphone array and focusing on practical applicationwith real-time requirement and 2) Task 2 is multi-channel speech enhancementwith multiple distributed microphone arrays, which is a non-real-time track anddoes not have any constraints so that participants could explore any algorithmsto obtain high speech quality. Targeting the real video conferencing roomapplication, the challenge database was recorded from real speakers and allrecording facilities were located by following the real setup of conferencingroom. In this challenge, we open-sourced the list of open source clean speechand noise datasets, simulation scripts, and a baseline system for participantsto develop their own system. The final ranking of the challenge will be decidedby the subjective evaluation which is performed using Absolute Category Ratings(ACR) to estimate Mean Opinion Score (MOS), speech MOS (S-MOS), and noise MOS(N-MOS). This paper describes the challenge, tasks, datasets, and subjectiveevaluation. The baseline system which is a complex ratio mask based neuralnetwork and its experimental results are also presented.

INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing