Measuring the Confusability of Pronunciations in Speech Recognition
نویسندگان
چکیده
In this work, we define a measure aimed at assessing how well a pronunciation model will function when used as a component of a speech recognition system. This measure, pronunciation entropy, fuses information from both the pronunciation model and the language model. We show how to compute this score by effectively composing the output of a phoneme recognizer with a pronunciation dictionary and a language model, and investigate its role as predictor of pronunciation model performance. We present results of this measure for different dictionaries with and without pronunciation variants and counts.
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