Emotion interaction model learning device, emotion recognition device, emotion interaction model learning method, emotion recognition method, and program

摘要

To improve the accuracy of recognizing an emotion of a target speaker.SOLUTION: A learning data storage unit 10 stores learning data composed of interactive voice in which a conversation composed of a plurality of speeches of a target speaker and a plurality of speeches of an opposite speaker has been recorded as well as a correct answer value of an emotion for each of the speeches included in that conversation. A per-speech emotion recognition unit 12 recognizes a per-speech emotion for each of the speeches extracted from the interactive voice, and generates per-speech emotion series of the target speaker and per-speech emotion series of the opposite speaker. A model learning unit 13 learns an emotion interaction model of re-estimating an emotion of a target speech with a per-speech emotion of a target speech which is a speech of the target speaker and a per-speech emotion of a previous speech that the opposite speaker has made immediately before the target speech serving as inputs, by using a correct answer value of an emotion, the per-speech emotion series of the target speaker, and the per-speech emotion series of the opposite speaker.SELECTED DRAWING: Figure 3