ACOUSTIC MODEL TRAINING METHOD, SPEECH RECOGNITION METHOD, ACOUSTIC MODEL TRAINING APPARATUS, SPEECH RECOGNITION APPARATUS, ACOUSTIC MODEL TRAINING PROGRAM, AND SPEECH RECOGNITION PROGRAM

摘要

To begin with, an acoustic model training apparatus extracts speech features representing speech characteristics, and calculates an acoustic-condition feature representing a feature of an acoustic condition of the speech data using an acoustic-condition calculation model that is represented as a neural network, based on an acoustic-condition calculation model parameter characterizing the acoustic-condition calculation model. The acoustic model training apparatus then generates an adjusted parameter that is an acoustic model parameter adjusted based on the acoustic-condition feature, the acoustic model parameter characterizing an acoustic model represented as a neural network to which an output layer of the acoustic-condition calculation model is coupled. The acoustic model training apparatus then updates the acoustic model parameter based on the adjusted parameter and the speech features, and updates the acoustic-condition calculation model parameters based on the adjusted parameter and the speech features.