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Wednesday October 9, 2024 2:00pm - 4:00pm EDT
This study investigates automatic corrective equalisation (EQ) to adjust the frequency response of microphones with non-flat responses to match that of a flat frequency response measurement microphone. Non-flat responses in microphones can cause significant colouration, necessitating correction for accurate sound capture, particularly in spectral analysis scenarios. To address this, 10 non-flat microphones were profiled in an anechoic chamber, and a 1/3 octave digital graphic equaliser (GEQ) was employed to align their spectra with that of an industry-standard reference microphone. The system's performance was evaluated using acoustic guitar recordings, measuring spectral similarity between Pre- and Post-Corrected recordings and the reference microphone with objective metrics. Results demonstrated improvements in spectral similarity across the metrics, confirming the method's effectiveness in correcting frequency response irregularities. However, limitations such as the inability to account for proximity effects suggest the need for further refinement and validation in diverse acoustic environments.
Speakers
avatar for Matthew Cheshire

Matthew Cheshire

Lecturer in Audio Engineering / Researcher, Birmingham City University
Authors
avatar for Matthew Cheshire

Matthew Cheshire

Lecturer in Audio Engineering / Researcher, Birmingham City University
Wednesday October 9, 2024 2:00pm - 4:00pm EDT
Poster

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