Experimental Evaluation on Confidence of Agreement among Multiple Japanese LVCSR Models

摘要

For many practical applications of speech recognition systems, it is quite desirable to have an estimate of confidence for each hypothesized word. Unlike previous works on confidence measures, this paper studies features for confidence measures that are extracted from outputs of more than one LVCSR models. More specifically, this paper experimentally evaluates the agreement among the outputs of multiple Japanese LVCSR models, with respect to whether it is effective as an estimate of confidence for each hypothesized word. The results of experimental evaluation show that the agreement between the outputs with two acoustic models which have different units in HMMs, such as phonemes and syllables, can achieve quite reliable confidence.