Provided is a word vectorization device for converting a word to a word vector that accounts even for acoustic characteristics of the word. A word vectorization model learning device includes a learning unit that learns a word vectorization model using a vector wL,s(t) representing a word yL,s(t) included in text data for learning, and an acoustic characteristic quantity afL,s(t) of speech data corresponding to the text data for learning, this acoustic characteristic quantity corresponding to the word yL,s(t). The word vectorization model includes a neural network for which a vector representing a word is input and an acoustic characteristic quantity of speech data corresponding to the word is output, and the word vectorization model uses an output value of any intermediate layer as a word vector.
WORD VECTORIZATION MODEL LEARNING DEVICE, WORD VECTORIZATION DEVICE, SPEECH SYNTHESIS DEVICE, METHOD FOR SAID DEVICES, AND PROGRAM