- Read more about Semantic Word Embedding Neural Network Language Models for Automatic Speech Recognition
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Most current language recognition systems model different levels of information such as acoustic, prosodic, phonotactic, etc. independently and combine the model likelihoods in order to make a decision. However, these are single level systems that treat all languages identically and hence incapable of exploiting any similarities that may exist within groups of languages.
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10 Views- Read more about Investigation on log-linear interpolation of multi-domain neural network language model
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