Since this not a “regular” frequency range and distortion analysis in the frequency-domain (like it is done e.g. In order to apply the needed calibration to the recorded files, the deficiency correction of the measurement microphone must be applied to the recorded audio signal. With right-click on the recorded file in ocenaudio, split the file to two mono files. MOSQITO can handle different bit depths, but the sample rate must be 48 kHz and one track (mono)! Here, I have recorded a kitchen machine and here is the original file for download. Download and install via pip through the terminal command that can be found here Ĭonnect your equipment and record an audio file. If you need pip, download and find install instructions from

This tutorial will show you how to measure the perceived loudness, roughness and sharpness of audio files with MOSQITO and the miniDSP USB microphones. These require their own set of software tools for calculation. For psychoacoustic analysis, a set of metrics like loudness, tonality roughness and sharpness (among others) is being used to describe the sound quality. The human perception works different and is more complex than the parameters we use to describe acoustic and electro-acoustic quality (frequency response, distortion, RT60, etc.). Measuring the psychoacoustic sound quality of audio sources is one of them.

Besides that, the microphones can also be used for other interesting purposes! You have probably used your miniDSP microphone(s) for acoustic measurement of loudspeakers and sound equipment. It's a starting point to the exciting field of analyzing Psychoacoustic parameters and we hope you enjoy it! Note that topics/software used here are without any support from the miniDSP support team or the author. Disclaimer: This is an advanced application note requiring knowledge in command line tool usage, convolution and advanced acoustics.

Ocenaudio vst