The Speech Temporal Transposition Algorithm automatically adjusts the pace of voice announcements to maximise their intelligibility in any acoustic environment. The system analyses the type of voice (male or female), determines the speech tempo, and — most critically — detects and shortens excessive prolongation of individual phonemes (so-called "stutters").

The result is that announcements are naturally and evenly slowed down or sped up as required, while voice timbre and naturalness are fully preserved. This significantly increases intelligibility in high-reverberation environments — railway stations, airports, underground garages, stairwells, and sporting venues — where a fast-paced message would otherwise be lost to acoustic reflections.

The Adaptive Filtration Algorithm provides automatic adjustment of volume and sound timbre based on continuous real-time readings from the SMART-ANSM-01 noise sensing microphones. The system analyses the noise spectrum and reacts to changes by applying narrowband filters, ensuring announcements remain intelligible regardless of the ambient noise environment.

The algorithm maintains a consistent headroom (5, 10, or 15 dB selectable) between the announcement signal and any acoustic background noise, automatically correcting the frequency response of each zone in real time. The STI coefficient is constantly maximised across the entire installation — with no manual intervention required.