Model Adaptation by HMM Decomposition and Composition in Noisy Reverberant Environments

摘要

In hands-free speech recognition in which the user speaks at a distance from the microphone, the accuracy or recognition is degraded if the environment is reverberant. The reason for the degradation is that the uttered speech is Affected by the surrounding noise and reverberation, which Produces a mismatch between the training data and the Observed data. In order to cope with such a situation, the Authors transfer HMM[1,2]. In that method, however, the Acoustic transfer functions must be measured from various Points before recognition.