"... In PAGE 16: ... Simulation results showed that the two apos;s complement representation with a total number of 12 bits and one integer bit accurately quantizes the model. FIR lter taps were converted to their CSD representation using 1% and 5% relative errors and the results are shown in Table2 . The underlined digits will be ignored since they represent a shift of more than the bitwidth of 12.... ..."

"... In PAGE 3: ... Less formal distinctions also proceed from 0, beginning with Neg1 (Negative 1) and also progressing by increments of 1. Table2 below provides further explication and examples. Table 2.... In PAGE 3: ... This basic coding structure reveals the similarities and differences between like systems. The coding structure for each language is supplemented with a legend, similar in format to Table2 , in which language-specific descriptions are listed. This combination leads to a thorough, accurate, and above all, consistent representation of formality inflection, one which lends itself to useful cross-linguistic comparisons.... ..."

"... In PAGE 5: ... Resolution-Independent Interaction. Table1 provides statis- tics about our experiments, including the number of mesh vertices, examples, control transformations, and proxy vertices. The running times provided are given for one iteration of our nonlinear solver; all timing was measured on a 3.... In PAGE 5: ... 2005] requires approximately one sec- ond to generate new meshes from the set of human poses, whereas our system allows posing and shape blending more than an order of magnitude faster. We validate our approximations of the example meshes by treat- ing them as a mesh sequence and measuring error in terms of per- cent distortion [Karni and Gotsman 2004], shown in the last column of Table1 . Example reconstruction using deformation gradients for all vertices incurs error due to approximation with controls.... ..."

"... In PAGE 5: ... Resolution-Independent Interaction. Table1 provides statis- tics about our experiments, including the number of mesh vertices, examples, control transformations, and proxy vertices. The running times provided are given for one iteration of our nonlinear solver; all timing was measured on a 3.... In PAGE 5: ... 2005] requires approximately one sec- ond to generate new meshes from the set of human poses, whereas our system allows posing and shape blending more than an order of magnitude faster. We validate our approximations of the example meshes by treat- ing them as a mesh sequence and measuring error in terms of per- cent distortion [Karni and Gotsman 2004], shown in the last column of Table1 . Example reconstruction using deformation gradients for all vertices incurs error due to approximation with controls.... ..."

"... In PAGE 5: ... Resolution-Independent Interaction. Table1 provides statis- tics about our experiments, including the number of mesh vertices, examples, control transformations, and proxy vertices. The running times provided are given for one iteration of our nonlinear solver; all timing was measured on a 3.... In PAGE 5: ... 2005] requires approximately one sec- ond to generate new meshes from the set of human poses, whereas our system allows posing and shape blending more than an order of magnitude faster. We validate our approximations of the example meshes by treat- ing them as a mesh sequence and measuring error in terms of per- cent distortion [Karni and Gotsman 2004], shown in the last column of Table1 . Example reconstruction using deformation gradients for all vertices incurs error due to approximation with controls.... ..."

"... In PAGE 2: ... A 20msecond epoch is necessary to give an accurate representation of pitch. Table 1 and Table2 provides a list of the twelve pitch and amplitude features employed in this study. No.... ..."

"... In PAGE 27: ...ecessary. A frame-wise comparison using our distance score is performed afterwards. Classi cation is done by nding the minimum score within each model. In Table6 we give the best results for each model and representation whereas a more accurate performance gures can be found in the tables mentioned above. We furthermore considered also for TIMIT a smoothing scheme which we... ..."

"... In PAGE 2: ... Each of these subsets, or repre- sentations, was hand selected as a potentially sensible grouping of related features. The representations are summarized in Table1 . Representations 1{4 in the ta- ble concentrate on the rst six PCCs at di erent reso- lutions and the petal lter because these features work well with the Gaussian classi er.... In PAGE 2: ... Representations 1{4 in the ta- ble concentrate on the rst six PCCs at di erent reso- lutions and the petal lter because these features work well with the Gaussian classi er. The larger represen- tations 5{8 in Table1 were developed speci cally for the ANNs, because the ANNs tended to become more accurate as more features were added. For each of the eight representations, Plannett trains four ANNs that contain, respectively, 0, 5, 10, and 20 hidden units in one layer.... ..."

"... In PAGE 2: ... Each of these subsets, or repre- sentations, was hand selected as a potentially sensible grouping of related features. The representations are summarized in Table1 . Representations 1{4 in the ta- ble concentrate on the rst six PCCs at di erent reso- lutions and the petal lter because these features work well with the Gaussian classi er.... In PAGE 2: ... Representations 1{4 in the ta- ble concentrate on the rst six PCCs at di erent reso- lutions and the petal lter because these features work well with the Gaussian classi er. The larger represen- tations 5{8 in Table1 were developed speci cally for the ANNs, because the ANNs tended to become more accurate as more features were added. For each of the eight representations, Plannett trains four ANNs that contain, respectively, 0, 5, 10, and 20 hidden units in one layer.... ..."