Age verification using a hybrid speech processing approach

The human speech production system is a multi-level system. On the upper level, it starts with information that one wants to transmit. It ends on the lower level with the materialization of the information into a speech signal. Most of the recent work conducted in age estimation is focused on the lower-acoustic level. In this research the upper lexical level information is utilized for age-group verification and it is shown that one's vocabulary reflects one's age. Several age-group verification systems that are based on automatic transcripts are proposed. In addition, a hybrid approach is introduced, an approach that combines the word-based system and an acoustic-based system. Experiments were conducted on a four age-groups verification task using the Fisher corpora, where an average equal error rate (EER) of 28.7% was achieved using the lexical-based approach and 28.0% using an acoustic approach. By merging these two approaches the verification error was reduced to 24.1%.