17: Predicting Listener Preference Using the Harman Target Curve (working from home with SoundCheck)

In this short video, Cam Ruffle-Deignan walks you through how to predict listener preference based on the Harman Target Curve. This free sequence (which can be downloaded here) can recall previously saved data as well as capture new data, making this a great ‘work from home’ project if you have previously saved measurement data on your headphones.

Testing Audio Performance of Hearables

Smart headphones or “hearables” are designed not only to playback music but to enhance communications in the
presence of background noise and in some cases, even compensate for hearing loss. They may also provide voice
recognition, medical monitoring, fitness tracking, real-time translation and even augmented reality (AR). They
contain complex signal processing and their characteristics change according to their smartphone application and
‘real world’ conditions of their actual environment, including background noises and playback levels. This paper
focuses on how to measure their audio performance under the many various real-world conditions they are used

Authors: Steve Temme, Listen, Inc.
Presented at AES Headphone Conference 2019, San Francisco, CA.

Full Paper
Poster Presentation