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11 Jan 2008: Splitting the data in decision tree generation is a locally op-timal operation, and small changes to the question selection canlead to very different decision trees.

11 Jan 2008: The selected data are addedto the original training dataset to update the acoustic model and op-tionally the language model [3, 1, 4].

11 Jan 2008: Rather than directly op-timize the interpolation weights, their prior distribution and the as-sociated hyper-parameters are optimized.

26 Mar 2008: Rather than directly op-timize the interpolation weights, their prior distribution and the as-sociated hyper-parameters are optimized.

16 Feb 2008: with reliable verbatim transcripts. However, accurately transcribed training data. are not always available and manually generating them is not always a feasible op-. ... The uncertainty in speech translation is due to the ambiguity in selecting the op-.

17 Sep 2008: 8.10 WER (%) and log-likelihood for VTS compensation of clean models on Op-erations Room corrupted RM task at 20 dB SNR (0DA) varying dimensionscompensated and noise model estimation.

16 Jan 2008: Augmented Statistical Models for. Classifying Sequence Data. Martin Layton. Corpus Christi College. University of Cambridge. September 2006. Dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. i.

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