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

A method is proposed for performing speech enhancement using ego-noisereferences with a microphone array embedded in an unmanned aerial vehicle(UAV). The ego-noise reference signals are captured with microphones locatednear the UAV's propellers and used in the prior knowledge multichannel Wienerfilter (PK-MWF) to obtain the speech correlation matrix estimate. Speechpresence probability (SPP) can be estimated for detecting speech activity froman external microphone near the speech source, providing a performancebenchmark, or from one of the embedded microphones, assuming a more realisticscenario. Experimental measurements are performed in a semi-anechoic chamber,with a UAV mounted on a stand and a loudspeaker playing a speech signal, whilesetting three distinct and fixed propeller rotation speeds, resulting in threedifferent signal-to-noise ratios (SNRs). The recordings obtained and madeavailable online are used to compare the proposed method to the use of thestandard multichannel Wiener filter (MWF) estimated with and without thepropellers' microphones being used in its formulation. Results show thatcompared to those, the use of PK-MWF achieves higher levels of improvement inspeech intelligibility and quality, measured by STOI and PESQ, while the SNRimprovement is similar.

Speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle