Background: Inter‑individual differences in respiratory aerosol emission influence pathogen transmission, yet working with respiratory pathogens is challenging. Upper‑airway commensals may provide a surrogate marker. This study characterised bacterial recovery during speech using multiple air‑sampling approaches, conducted alongside a parallel APS-based particle-emission study, informing planned comparison.  Methods: Twenty‑five participants read a standardised text three times inside a flexible‑film isolator. Respiratory particles were collected using culture settle plates placed 10–50 cm from the participant and parallel molecular plates containing preservation medium. Active sampling used Andersen and slit‑to‑agar impactors, and a cyclone collecting into preservation medium. Large droplets were captured using water‑sensitive paper. Culture plates were enumerated for respiratory commensals, and raw and log10‑transformed counts analysed using Spearman and Pearson correlations. Molecular samples are undergoing qPCR targeting Streptococcus mitis group, Neisseria spp., Torque Teno Virus, and human 18S rRNA. Temperature, humidity, and CO₂ were recorded. APS particle counts were collected independently by a collaborating researcher. Results: Commensals were consistently recovered across culture-based samplers, with substantial between‑participant variability. Moderate to strong correlations were observed between Andersen, slit sampler, and settle‑plate counts, with some outliers. High‑ and low‑emitter rankings have been generated for comparison with APS profiles. Molecular and droplet‑image analyses are ongoing. Conclusions: Preliminary findings indicate that commensal bacterial emission during speech is measurable and broadly consistent across sampling platforms. Integration of size-resolved Andersen data with independently collected APS measurements will assess whether shedding reflects overall respiratory aerosol‑emission behaviour.