  The aim of this paper is twofold. First, we present a review of different
recording options for gathering prosodic data in the event that fieldwork is
impracticable (e.g. due to pandemics). Under this light, we mimic a
long-distance reading task experiment using different software and hardware
synchronously. In order to evaluate the employed methodologies, we extract
noise levels and frequency manipulation of the recordings. Subsequently, we
examine the impact of the different recordings onto linguistic variables, such
as the pitch curves and values. We also include a discussion on experimental
practicalities. After balancing these factors, we decree an online platform,
Zencastr, as the most affordable and practical for acoustic data collection.
Secondly, we want to open up a debate on the most optimal remote methodology
that researchers on speech prosody can deploy.
