Provided is a sleep quality assessment system (100) comprising: a sound recording unit (110) for recording sounds during sleep as sleep sounds; an extraction unit (120) for extracting from the sleep sounds a plurality of instances of feature information; an analysis unit (130) for computing feature vectors from the feature information; a classification unit (140) for classifying the feature vectors into a plurality of types; a probability model generation unit (150) for generating a first model reflecting a sleep sound in a first state and a second model reflecting a sleep sound in a second state by subjecting the feature vectors to a hidden Markov model-based process; a likelihood computation unit (170) for computing a first likelihood obtained by applying the feature vectors classified based on a sleep sound (210) to be assessed to the first model and a second likelihood obtained by applying the feature vectors classified based on the sleep sound (210) to be assessed to the second model; and an assessment unit (180) for assessing the quality of sleep on the basis of the computed likelihoods.
SLEEP QUALITY ASSESSMENT SYSTEM, SLEEP QUALITY MODEL CREATION PROGRAM, AND SLEEP QUALITY ASSESSMENT PROGRAM