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It is observed that the cepstral-based features used for speech recognition are sensitive to some auxiliary information (e.g. pitch). Encoding the auxiliary information in discrete auxiliary variables based on dynamic Bayesian networks (DBNs) typically results in an increased number of parameters. There are tradeoffs to be studied between parameter reduction and dependency modeling. In this paper,...
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