Elderly Conversational Speech Corpus with Cognitive Impairment Test and Pilot Dementia Detection Experiment Using Acoustic Characteristics of Speech in Japanese Dialects

no code implementations • LREC 2022 • Meiko Fukuda, Ryota Nishimura, Maina Umezawa, Kazumasa Yamamoto, Yurie Iribe, Norihide Kitaoka

This is an on-going research project, and additional investigation is needed to understand differences in the acoustic characteristics of phoneme units in the conversational speech collected from these four regions, to determine whether the removal of formants and other features can improve the dementia detection rate.

Sentence

Improving Speech Recognition for the Elderly: A New Corpus of Elderly Japanese Speech and Investigation of Acoustic Modeling for Speech Recognition

no code implementations • LREC 2020 • Meiko Fukuda, Hiromitsu Nishizaki, Yurie Iribe, Ryota Nishimura, Norihide Kitaoka

In an aging society like Japan, a highly accurate speech recognition system is needed for use in electronic devices for the elderly, but this level of accuracy cannot be obtained using conventional speech recognition systems due to the unique features of the speech of elderly people.

speech-recognition Speech Recognition