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In this paper we present an open database for the development of detectionand enhancement algorithms of speech transmitted over HF radio channels. Itconsists of audio samples recorded by various receivers at different locationsacross Europe, all monitoring the same single-sideband modulated transmissionfrom a base station in Paderborn, Germany. Transmitted and received speechsignals are precisely time aligned to offer parallel data for supervisedtraining of deep learning based detection and enhancement algorithms. For thetask of speech activity detection two exemplary baseline systems are presented,one based on statistical methods employing a multi-stage Wiener filter withminimum statistics noise floor estimation, and the other relying on a deeplearning approach.

A Database for Research on Detection and Enhancement of Speech Transmitted over HF links