Conventional functional magnetic resonance imaging (fMRI) produces acoustic noise levels comparable to a running chainsaw. This presents numerous challenges for functional data interpretation, providing a substantial confound for auditory processing. Recently, a novel imaging technique known as “Looping Star” has been developed, which reduces this acoustic noise to the amplitude of normal conversation. We applied this acquisition technique with an auditory paradigm for the first time, comparing it with conventional fMRI. We established that it displays good functional sensitivity in spite of reduced signal-to-fluctuation-noise, alongside functional localisation free from inflow effects. This technique could revolutionise future investigations of acoustic processing.