Abstract: A phonetic variation model building apparatus, having a phoneme database for recording at least a standard phonetic model of a language and a plurality of non-standardized phonemes of the language is provided. A phonetic variation identifier identifies a plurality of phonetic variations between the non-standardized phonemes and the standard phonetic model. A phonetic transformation calculator calculates a plurality of coefficients of a phonetic transformation function based on the phonetic variations and the phonetic transformation function. A phonetic variation model generator generates at least a phonetic variation model based on the standard phonetic model, the phonetic transformation function and the coefficients thereof.

Abstract: A phonetic variation model building apparatus, having a phoneme database for recording at least a standard phonetic model of a language and a plurality of non-standardized phonemes of the language is provided. A phonetic variation identifier identifies a plurality of phonetic variations between the non-standardized phonemes and the standard phonetic model. A phonetic transformation calculator calculates a plurality of coefficients of a phonetic transformation function based on the phonetic variations and the phonetic transformation function. A phonetic variation model generator generates at least a phonetic variation model based on the standard phonetic model, the phonetic transformation function and the coefficients thereof.

Abstract: A blood sugar level analysis system includes a database, an input device, a processing device and a display device. The processing device is connected to the database, the input device and the display device. The processing device includes a blood sugar recording module and an evaluation module. The blood-sugar recording module obtains at least one measured blood sugar level of a user taken within at least one measurement time period of a day, and records the measured blood sugar level into the database. The evaluation module obtain the measured blood sugar level taken within the measurement time period for each day in an evaluation time span from the database, and bases on the measured blood sugar level(s) obtained to evaluate a abnormal blood sugar level risk of the user within the measurement time period, and the risk is provided for display at the display device.

Abstract: A personalized meal planning method is provided. The method utilizes a food clustering technique to generate personalized meal plans. The method provides a food clustering stage and a food matching stage. The food clustering stage includes the following steps: input a personal nutrient goal; set a weight and a necessity value for each target nutrient feature; generate food clusters by applying a clustering algorithm; compute food ranking; and provide a diet recommendation. The food matching stage includes the following steps: select a food item to be replaced; determine a threshold of target similarity; and provide at least one replaceable food item. A personalized meal planning system is also provided.