Abstract: A generating device includes an accepting unit that accepts a speech of a user. The generating device includes a generating unit that, by inputting the speech of the user to a single model in which a group of parameters are learned simultaneously to output a response directly from a speech, generates a response to the speech.

Abstract: An information processing apparatus according to the present application includes a conversion unit, au update unit, a generation unit, and a first learning unit. The conversion unit converts input target data into a feature vector. The update unit updates, by using the target data as first learning data, noise distribution data indicating a relationship between noise data extracted from the first learning data and a probability value. The generation unit generates noise data by using the noise distribution data updated by the update unit. The first learning unit learns a conversion process performed by the conversion unit by using the first learning data and the noise data.

Abstract: A data classification device according to the present application includes a conversion unit, a classification unit, a first learning unit, and a second learning unit. The conversion unit converts input classification target data into a feature vector. The classification unit provides a label to the classification target data on the basis of the feature vector output by the conversion unit. The first learning unit learns conversion processing of the conversion unit, using accumulated data of the input classification target data, as first learning data. The second learning unit learns classification processing of the classification unit, using second learning data in which a label has been provided to data of a same type as the classification target data.