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17 Nov 2017: Notification of acceptance: 25 August, 2017. Registration: 20 June - 6 September, 2017. ... The department is 5-15 minutes by taxi (depending on traffic) or about 20 minutes walk from the railway station.

29 Nov 2017: 39/57. Example “Generative” Acoustic Model [20]. understand the CLDNN architecture are presented in Section 4. ... Learning Internal Representations by Error Propagation, pp.318–362. [20] T. N. Sainath, O.

22 Mar 2017: Keyword search is performed using joint decod-ing lattices pruned to yield on average 20,000 arcs. ... 20] D. Palaz, M. Magimai.-Doss, and R. Collobert, “Analysis ofcnn-based speech recognition system using raw speech as in-put,” in Interspeech, 2015.

18 May 2017: Sig. nal. Sigma = 20. As σ increases, the signal is smoothed more and more, and. ... 20 Engineering Part IB: Paper 8 Image Matching. Correlation. The normalized cross-correlation function measures how.

23 Dec 2017: Christine Evers, Imperial College. 14:50-15:20. CUED - LT1. ... 15:20-15:35. CUED - LR3A. Break (tea and coffee). 15:35-16:50. CUED - LR3.

22 Mar 2017: Another option is to create a phone index usingeither the original morph index or created word index [20]. ... 20] L. Mangu, B. Kingsbury, H. Soltau, Kuo H.-K., andM. Picheny, “Efficient spoken term detection using confusionnetworks,” in ICASSP, 2014.

29 Nov 2017: 20/63. Phonetic vs Graphemic Performance. Language Id Script TER (%)Phon Grph CNCTok Pisin 207 Latin 40.6 41.1 39.4Kazakh 302 Cyrillic/Latin 53.5 52.7 51.5Telugu

17 Nov 2017: 20. 30. 40. 50. 60. 70. 80. WE. R (. %). MFCCgMFCCBMFGDVTProposed. Robust Source-Filter Separation of Speech Signal in the Phase Domain. ... 0.40.30.20.10.00.10.20.30.40.5. τ VT. arg. [XMinPh]. arg. [XVT]. τ VT. Slide 1.

20 Nov 2017: Architecture Width PER7L-RELU-MLP 500 21.439L-SELU-MLP 250 20.8021L-(FC)ResNet 250 20.37CNN 2048 for FC 20.123L-RELU-RNN 1024 18.543L-RELU-BDRNN 750

22 Mar 2017: keyword)is searched among all possible paths in lattices. The indexing andsearch of our KWS system are based on the weight finite state trans-ducer (WFST) framework [20, 21]. ... ICASSP, 2013. [20] Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark Gales,

20 Nov 2017: PER (%)7-layer (500) 24.55 23.55RNN 23.84 20.59Ensemble 23.73 20.34. Table 1: RNN and ensemble teacher models with a 3-layer (500)fully-connected student

17 Nov 2017: 0. 20. 40. 60. 80. 100. % o. f Utte. ranc.

20 Nov 2017: 50% vs. 20%. • PF-STAR German: German children aged 10-13, 3.38 hours of read speech.Acoustic Model. •

17 Nov 2017: 20, no. 1, pp. 102-105, 2013. [4] T. Drugman and Y.

17 Nov 2017: Features• Conversation Analysis inspired[3]: 20 features,. e.g. patient answered me for who’s most concernedquestion, average number of empty words (CA is anapproach to study social interaction/ communicationability of

23 Dec 2017: Non-emotive 5.845 0.329 52.846 14.768. Listening test. • MUSHRA listening test, 16 screens, 20 participants• Copy synthesis reference: 100 rating for all samples.

22 Mar 2017: keyword)is searched among all possible paths in lattices. The indexing andsearch of our KWS system are based on the weight finite state trans-ducer (WFST) framework [20, 21]. ... ICASSP, 2013. [20] Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark Gales,

18 May 2017: P (i) log Q(i). P0.000.05. 0.10. 0.15. 0.20. 0.25. 0.30. 0.35. ... 1.00E-01. 0 2 4 6 8 10 12 14 16 18 20.

22 Mar 2017: Another option is to create a phone index usingeither the original morph index or created word index [20]. ... 20] L. Mangu, B. Kingsbury, H. Soltau, Kuo H.-K., andM. Picheny, “Efficient spoken term detection using confusionnetworks,” in ICASSP, 2014.

22 Mar 2017: Keyword search is performed using joint decod-ing lattices pruned to yield on average 20,000 arcs. ... 20] D. Palaz, M. Magimai.-Doss, and R. Collobert, “Analysis ofcnn-based speech recognition system using raw speech as in-put,” in Interspeech, 2015.

15 Jun 2017: Figure 4: Registrations of the canonical femur (red) to the synthetic 20 specimen (green). ... 20%. of. me. an. CM. SD. (a) Texture discrepancy. 0 5 10 15 20.

18 May 2017: curve. This network was trained for 20 epochs, and we can. ... It. consists of over 14 million images mapped to around 20,000.

23 Dec 2017: 2. 4. 6. 8. 10. 12. 14. 16. 18. 20. M2(2,2). ... 2. 4. 6. 8. 10. 12. 14. 16. 18. 20. M7(7,7).

24 May 2017: p(Y1:T ) =T. t=1. p(yt|ht) (1.19). ht = f(ht1,yt1) (1.20). As described for the RNNLM, the history vector can model a representation of thecomplete ... 20. hT. An RNN is also used as the decoder for the word-sequence.

23 Dec 2017: The most common published figures are correctness andaccuracy as shown in Equations 1 and 2 respectively [20]. ... 0 20 4 17 0 1 2 0 0 1 0 0 1 0 0 03 6 6 163 3 7 7 2 8 7 1 4 2 0 14 2

9 May 2017: 20. 2.3.3 Language Model Interpolation. 22. 2.3.4 Improvedn-gram Language Model. 23. ... 20. 2.7 A decomposition of sentence in speech recognition. 30. 2.8 An example of lattice with reference “well I think that is true”.

14 Jan 2017: msra-c 53.46 107.17 33.06 0.943msra-b 23.22 46.54 18.33 0.937msra-a 19.06 38.20 17.80 0.935vgg-19 19.63 ... 16%. 17%. 18%. 19%. 20%. gmpgmp-sfgmp-lr-joingmp-lr. Multiply-Accumulate Operations. Top-. 5E. rror.

14 Jan 2017: msra-c 53.46 107.17 33.06 0.943msra-b 23.22 46.54 18.33 0.937msra-a 19.06 38.20 17.80 0.935vgg-19 19.63 ... 16%. 17%. 18%. 19%. 20%. gmpgmp-sfgmp-lr-joingmp-lr. Multiply-Accumulate Operations. Top-. 5E. rror.

11 Jul 2017: Joint Training Methods for Tandem andHybrid Speech Recognition Systems. using Deep Neural Networks. Chao Zhang. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. Peterhouse July