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

Team Irisapu Project Description for DRC2023

no code implementations • 21 Dec 2023 • Reon Ohashi, Shinjitsu Agatsuma, Kazuya Tsubokura, Yurie Iribe

This paper describes the dialog robot system designed by Team Irisapu for the preliminary round of the Dialogue Robot Competition 2023 (DRC2023).

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

Speech Corpus Spoken by Young-old, Old-old and Oldest-old Japanese

no code implementations • LREC 2016 • Yurie Iribe, Norihide Kitaoka, Shuhei Segawa

We have constructed a new speech data corpus, using the utterances of 100 elderly Japanese people, to improve speech recognition accuracy of the speech of older people.

speech-recognition Speech Recognition