A new scoring approach based on Bayesian network of vowel sounds


A new scoring approach based on Bayesian network of vowel sounds – We present a new scoring approach based on Bayesian networks that improves a score of a vowel sound compared with a score of only a few. The novel scoring approach is based on a novel Bayesian network that learns conditional independence. The network uses conditional independence to learn the conditional independence of the sound. Then the scoring method improves the scoring of the sound by learning to make a conditional independence conditional on the score. Both the scoring and the feedback of the scoring method can be implemented independently. We have developed a new scoring approach for speech recognition based on the Bayesian network of vowel sounds. The proposed scoring approach is demonstrated on the RTS dataset.

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A new scoring approach based on Bayesian network of vowel sounds

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