Abstract: According to one aspect of an embodiment a learning apparatus includes a first acquiring unit that acquires first output information that is output by an output layer when predetermined input information is input to a model that includes an input layer, a plurality of intermediate layers, and the output layer. The learning apparatus includes a second acquiring unit that acquires intermediate output information that is based on pieces of intermediate information that are output by the plurality of intermediate layers when the input information is input to the model. The learning apparatus includes a learning unit that learns the model based on the first output information and the intermediate output information.

Abstract: A generating device according to the present application includes an obtaining unit and a first generating unit. The obtaining unit obtains training data including an acoustic feature value of a first observation signal, a late reverberation component corresponding to the first observation signal, and a phoneme label associated with the first observation signal. The first generating unit generates an acoustic model to identify a phoneme label corresponding to a second observation signal based on the training data obtained by the obtaining unit.

Abstract: According to one aspect of an embodiment a creating device includes an estimating unit that estimates a predetermined range that is included in an observation signal and in which a predetermined signal is included. The creating device includes a creating unit that creates, based on an enhancement range in which the predetermined signal included in a signal included in the predetermined range has been enhanced, a filter that is used to enhance a signal having the same characteristic as that of the predetermined signal from a range other than the predetermined range that is included in the observation signal.

Abstract: According to one aspect of an embodiment a learning apparatus includes a first acquiring unit that acquires first output information that is output by an output layer when predetermined input information is input to a model that includes an input layer, a plurality of intermediate layers, and the output layer. The learning apparatus includes a second acquiring unit that acquires intermediate output information that is based on pieces of intermediate information that are output by the plurality of intermediate layers when the input information is input to the model. The learning apparatus includes a learning unit that learns the model based on the first output information and the intermediate output information.