By reducing the annoyance that impulsive non-speech sounds cause, SoundSmoothing also minimizes wearer fatigue and can increase wearing time. In fact, research shows in these types of noisy situations, most hearing instrument wearers prefer SoundSmoothing.

Users prefer SoundSmoothing activated in most situations! For "party noise" and "speech signals" the participants favored the two different settings equally. This was the expected finding, as these signals are not affected by SoundSmoothing.

Coupled with the other components from the state-of-the-art speech and noise management system (noise reduction, speech enhancement) from many Siemens hearing instruments, SoundSmoothing helps deliver unmatched sound-processing for the purest sound possible from a hearing instrument.

DataLearning™

DataLearning™ technology is configured to learn the wearer's listening volume preferences for each listening program. It not only collects, DataLearning automatically applies the gathered data to the wearer's benefit.

 DataLearning automatically makes loudness adjustments without requiring extra effort on the part of a Hearing Care Professional. By providing objective usage data for fine tuning, DataLearning also enables faster and more precise fitting during follow-up visits. DataLearning technology gives professionals information about the wearer's listening environments, wearing time, and more.

How does DataLearning work in daily life?

DataLearning minimizes the need for volume control adjustments. The hearing instrument is configured to remember changes during daily use to the user's volume setting, no matter whether such changes are made directly or through Siemens remote control devices. When the user switches the instrument off (e.g., at bedtime) and then on again (e.g., the next morning), the instrument will calculate the learned volume setting in less than one ms.

In other words, the learned volume setting is calculated by averaging all past volume changes, weighing more heavily recent changes. Over time, DataLearning assures that overall gain always or nearly always is, at the desired level.