COMPOSITE MODEL GENERATING DEVICE FOR VOICE AND IMAGE, ENVIRONMENT ADAPTING DEVICE FOR COMPOSITE MODEL OF VOICE AND IMAGE, AND VOICE RECOGNIZING DEVICE

摘要

PROBLEM TO BE SOLVED: To provide a composite model generating device for voice and image for voice recognizing device which can performs voice recognition at a high voice recognition rate and the voice recognizing device. SOLUTION: In the composite model generating device 100 for voice and image, an HMM composition part 16 computes the products of the output probabilities of the voice and image in all combinations of states of a voice HMM and an image HMM and generates and composites a composite HMM having a composited Gaussian mixture distribution including the products of the output probabilities in the respective states. Then, an HMM learning part 17 performs connected learning maximizing the output likelihood by using a labeled AV signal in a learning AV data memory 31 according to the generated and composite HMM to generate a composite HMM of the learnt voice and image. A voice recognition part 200 of the voice recognizing device 200 performs voice recognition by using the composite HMM of the learnt voice and image according to the feature quantity of a feature-extracted spoken voice signal and the feature quantity of an image signal.