  Measuring the amount of speech production in daily life is important for
understanding communication in organizations and identifying mental disorders.
However, measuring the amount of speech production can be problematic in terms
of privacy. We observed the whole body condition during speech and noted that
the abdomen strains during speech production.Therefore, we developed a less
uncomfortable, inflatable abdominal motion measurement device using a
barometric sensor to measure speech production indirectly. We measured speech
production in 10 subjects and created a speech discrimination model using
machine learning. However, the estimated speech duration in an actual meeting
using this model was much longer than the actual duration. We found that the
wearer's posture significantly affects the accuracy of the speech
discrimination model developed in this study. We plan to improve the abdominal
motion measurement device to minimize the effect of posture and achieve more
accurate speech production measurement.
