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16 Feb 2008: This example presents the target sentence as asequence of phrases, but there is no requirement that the target wordsgenerated by a source word should appear as neighbors in the targetsentence. ... The precisionof each of these is plotted versus its

5 Sep 2008: The main disadvantage of this phantomis the requirement to align the phantom with the point fiducials, which can be very difficult.An advantage is that only one frame (N = 1 in ... Other research groups give the variation of thethree calibration

19 Mar 2008: Foundations and Trends R inSignal ProcessingVol. 1, No. 3 (2007) 195–304c 2008 M. Gales and S. YoungDOI: 10.1561/2000000004. The Application of Hidden Markov Modelsin Speech Recognition. Mark Gales1 and Steve Young2. 1 Cambridge University

16 Feb 2008: 82. 4.2 Distribution of the number of words in the target and the sourcephrases over the Phrase-Pair Inventory on the French-English Task.The entries are phrase-pair counts ... 83. 4.3 Distribution of the number of words in the target and the

16 Jan 2008: independent given the previous state. Upon entry to a state θt =j, a single observation, ot,.

16 Feb 2008: requirements for the degree of Doctor of Philosophy. Baltimore, Maryland. 2005. ... given by a dictionary. A word can have more than one entry in a dictionary with a.

16 Feb 2008: system can be used without modification to translate each entry, and the resulting. ... To restrict the memory requirements of the model, we extract only the phrase.

9 Jul 2008: varying signals [8], and has since formed the basis of many ASR systems.An HMM is a finite state machine, where the entry to each state has an associated outputdistribution,

17 Sep 2008: Uncertainty Decoding forNoise Robust Speech Recognition. Hank Liao. Sidney Sussex CollegeUniversity of Cambridge. September 2007. This dissertation is submitted for the degree ofDoctor of Philosophy to the University of Cambridge. Declaration. This