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Pronunciation modeling by sharing Gaussians
mi.eng.cam.ac.uk/reports/svr-ftp/nock_csl00.pdf31 Jul 2000: Pronunciation modeling by sharing Gaussians 141. TABLE I. WER degradation with speaking style on theMULTI-REG test set. ... Steps (6), (3), (4) and (5) arethen carried out in that order to estimate and test a matched pronunciation model. -
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mi.eng.cam.ac.uk/reports/svr-ftp/liao_interspeech05.pdf26 Sep 2005: Here. P (šn|xt, M̌) P (šn|yt, M̌) (10)the model M̌ is now matched to the test condition rather. ... All results are quotedaverage of three of the four available test sets, Feb’89,89 and Feb’91. -
SENSORLESS FREEHAND 3DULTRASOUND IN REAL TISSUE: SPECKLE…
mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr510.pdf10 Jan 2005: Subsequently, separate distance estimates wereobtained for each patch in the three test sets. ... To facilitate the noise test (3), axial decorrelation curves werealso calculated for each patch. -
PRONUNCIATION MODELING BY SHARING GAUSSIAN DENSITIESACROSS PHONETIC…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf9 Aug 2005: Steps 6, 3, 4 and 5 are then carried out to estimateand test a pronunciation model. ... in Step 5 (Test) PER WER PER WERNone (Dictionary) 49.1% 49.1% 49.5% 58.9%Tree Pron. -
Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...
mi.eng.cam.ac.uk/reports/svr-ftp/williams_cvpr06.pdf3 Apr 2006: In [14], error is computed using a“leave-one-out” test rather than with completely new testdata. ... A leave-one-out test for gaze-tracking data with theS3GP gives an error of 0.68. -
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking…
mi.eng.cam.ac.uk/reports/svr-ftp/williams_iccv03.pdf23 Nov 2003: It seems that some form of single stage regressionmight be more powerful, both for dealing with the rangeof variation of test examples, and for correctly modellingstatistical variability. ... Forefficiency, this test is made only every M frames (in -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/stenger_imavis06.pdf21 Sep 2006: The parameters for both methods are setby testing the classification performance on a test setof 5000 images. ... In a first approach,the edge and colour cost terms are computed for a numberof test images. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/FI224_ResearchTPAs are economic, off-the-shelf, and they have several interesting properties. They can form flexible or rigid structures by means of existing fast-prototyping techniques and can be also used -
The CUHTK-Entropic 10xRT Broadcast News Transcription System
mi.eng.cam.ac.uk/reports/full_html/odell_darpa99.html/1 Mar 2000: On the 1998 test the system produced an average word error rate of 16.1% running in 9.5xRT. ... In tests the faster cache led to 6-8% faster decoder operation on a Xeon than on the equivalent Pentium II. -
The Cambridge University March 2005 Speaker Diarisation System
mi.eng.cam.ac.uk/reports/full_html/sinha_eurospeech05.html/22 Sep 2005: Using just the target test show for Ewas not effective. ] The DER on the. ... E. uses the test data (unsupervised). Concatenation () and MAP adapted ( ) results are given.
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