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20 Feb 2018: GTD 23.44 7.06 20.25 8.10CF 12.58 7.29 11.90 8.43. Table 1: Objective comparison between MSDHMM extensionsand CF-HMM. ... The final 20 waves were then shuffled and presentedto the listeners in random order.

10 Nov 2015: 0.05. 0.1. 0.15. 0.2. 0.25. 0.3. 0.35. 20. 4 Engineering Part IIB: Module 4F10 Statistical Pattern Processing. ... 4. 2. 0. 2. 4. 6. 83 ITERATIONS. 20 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.

20 Feb 2018: Theperformance of emphasized word detection is shown in table 1. System # Det Rec (%) Pre (%) F -measureGMM 2.0 20.0 53.8 0.29MLLR 4.7 47.1 68.0

29 May 2004: Gauss 24.0 20.7 20.7 17.7 16.0WER (%) 35.3 35.1 35.2 35.3 35.5. ... Using the “opti-mal” structure, determined with α = 0 and 4 iterations of structureoptimization the error rate fell to 35.1% and the average numberof components per state was 20.7.

20 Feb 2018: Q(θ, θ(k1)) =. X. P (X, D|θ(k1)) log P (X, D|θ).(20). ... 50. -40. -30. -20. -10. 01 2 3 4 5 6 7 8 9 10.

14 Sep 2010: SYN HMM 30 9.20 8.51 9.34 9.02HTS 5 8.41 8.03 8.70 8.38. ... Beyond HMM Workshop, December 2004. [20] H. AlDamarki, “Filter trees for noise robust small vocabulary speechrecognition,” M.Phil.

27 Sep 2000: The worderror rate obtained is almost 20% better than our 1997 system onthe development set. ... The eval97sub set was used forsystem development and consisted of 20 conversation sides fromSwbd-II and CHE.

19 Jan 2012: 0 50 100 150 200 2500. 20. 40. 60. 80. 100. ... Just optimising theinference alignment gave2.1% relative reduction. The overallgain from using the SSVM over the VTS-compensated HMMsystem was over 20%, though it should be noted that the SVMand SSVM

20 Feb 2018: 20. Table 5: Selection of committee members for multi-policy Bayesian committee machinefor SFR domain. ... 250 SFR250 SFH250 L11 8.05 0.20 79.38 0.83 7.79 0.08. 6.8.

22 Jan 2018: Unless otherwise indicated,the LSTM is unrolled for 20 time steps for training with truncatedbackpropagation through time (BPTT). ... The LSTM is then unrolled for 20timesteps, and thus consumes a larger context of 20 l.

20 Feb 2018: The final 20 samples were then shuffled andprovided to the listeners.

20 Feb 2018: utterances. ML LSEpreference 48.3% 51.7%. 20 40 60 80 100 120 140 54. ... This filter ispopular in speech coding [20] and its more general use invoice conversion is discussed in [6].

20 Feb 2018: Received 20 February 1998; received in revised form 26 November 1998; accepted 2 December 1998. ... Additionally, 20 sentences from a femaleSpanish speaker were recorded to serve as cali-bration sentences.

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

20 Feb 2018: All policies were trained using the GP-SARSA al-gorithm and the summary action space of the RLpolicy contains 20 actions. ... 2013. Pomdp-basedstatistical spoken dialogue systems: a review. InProc of IEEE, volume 99, pages 1–20.

28 Apr 2014: 3. HISTORY CONTEXT CLUSTERING FOR RNNLMS. Efficient use of language models in speech recognizers [20, 19, 17]requires that the context dependent states representing different his-tories during search can be ... In common with the n-gram history based

21 Feb 2022: 20/45. Assessment: Gaussian Process [14, 16]. • Gaussian process• non-parametric model based on joint-Gaussian assumption. • ... 16-20, 2017, 2017, pp.

8 Mar 2000: Y 14.2 8.0 15.4 20.3 16.5 14.0 16.6 24.6. ... ROVER fgintcat 4/Y1/N 13.8 7.8 15.1 20.1 15.8 13.6 16.6 24.1.

18 May 2015: Though for speaker adaptation this may be reason-able [20], for language adaptation this is expected to be suboptimalas different eigen-languages may have different acoustic realisationsof context-dependencies. ... Rep. CUED/F-INFENG/TR263,Cambridge

16 Jun 2008: from 20 to 5 dB,combined with the 4 different additive noise sources N1 to N4,subway, babble, car and exhibition hall. ... A set of 20 confusable digit-pairs were selected based onthe overall confusion matrix for the 16 noise conditions.

8 Mar 2019: 400 hour BULATS training set. 20. AM LM % WER.

5 Dec 2003: 17] T. Vieville, C. Zeller, andL. Robert. Using collineationsto computemotion andstructurein an uncali-bratedimagesequence.International Journal of Computer Vision, 20(3):213–242,1996.

19 Apr 2001: Wewould also like to extend the system to recover surface re-flectance [8, 20], so as to produce photo-realistic 3D modelsunder different lighting conditions. ... IEEE Trans. on Pattern Analysis and Machine In-tell., 20(10):1091–1096, Oct 1998.

19 Jun 2023: 20. Spoken Language Assessment and Feedback Pipeline. Grader Score: 3.5Conf: 90%.

22 Jul 2021: Various models shown in Figure 1are discussed below.Cascade (Casc) The vanilla Casc model consists of an RNN-basedListen-attend-spell (LAS) [20] and a transformer-based NMT [10].In the ... E2E - - 19.29Casc 9.60 16.56 20.54EP 7.97 18.84 22.56. EP-J 9.60

20 Feb 2018: 0.24. 0.22. 0.20. 0.18. 0.16. Log-. likel. ihoo. dpe. rmic. ro-tu.

15 Aug 2007: Here. Σ(m)-1 = A(r)TΣ̃(m)-1diag A. (r) (20). and Σ̃(m)diag is a diagonal covariance matrix. ... System # iter SNR(dB)20 15 10 50 31.2 50.4 79.2 89.7.

20 Feb 2018: 20). where D is the data dimension, γ(θ) and Σ(θ) are the total occupancy and the. ... System # Det Rec (%) Pre (%) F -measure. GMM 2.0 20.0 53.8 0.29.

11 Oct 2023: Joint Conference on NaturalLanguage Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022 (Y. ... Speech and Signal Processing, ICASSP 2016,Shanghai, China, March 20-25, 2016, pp.

15 Feb 2005: 0/56.8 29.2/15.7/56.2. PFMctsrt04 cl40-tg 33.1/20.3/63.9 33.3/18.7/62.6 30.8/19.7/61.9. ... Cambridge University RT-04 workshop: November 2004 20. Tomalin and Woodland: Advances in Structural Metadata for RT-04 at CUED.

13 Jun 2013: The same trends phone-. System A B C D avgVAT 8.1 13.5 11.6 20.5 15.98.

20 Feb 2018: 0.20. 0.25. 0.30. 0.35. 0.40. 0.45. 0.50. 0.55. 0.60. 0.65. perr. ... 0. 0.5. 1. 1.5. 2. 2.5. 0.00. 0.05. 0.10. 0.15. 0.20.

20 Feb 2018: 0.05. 0.10. 0.15. 0.20. 0.25. 0.30. 0.35. 0.40. 0.45. 0.50. 0.55. ... 4. 6. 8. 10. 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60

13 Jun 2013: Thesampling process of all other parameters is similar to the meth-ods discussed in [14, 19, 20]. ... 9, no. 2, pp. 249–265, 2000. [20] Carl Edward Rasmussen and Zoubin Ghahramani, “Infinite mix-tures of Gaussian process experts,” in NIPS, 2001, pp.

10 Nov 2015: 1. 1. x1. 1x2. 0.5NOR. (d) NOR operator. 20 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.

20 Feb 2018: The reward function was set to give a rewardof 20 for successful dialogues, zero otherwise. ... 20. 15. 10. 5. 0. 5. 10. Rew. ard. PRIORADAPTTRAINbsc-trn&extd-tstextd-trn&tst. Figure 2: Different adaptation strategies.

12 Jul 2016: the Gaussian sufficient statistics[19] and HMM mean and variance statistics [20]. ... 1117–1120. [20] Georg Heigold, Ralf Schlüter, and Hermann Ney, “On theequivalence of Gaussian HMM and Gaussian HMM-like hid-den conditional random fields.,” in

13 Aug 2008: 5 Results. The performance of the proposed scheme was evaluated on the AURORA 2 task [20]. ... Two forms of front-end were examined, one HTK-based, the other ETSI-based [20].

8 Mar 2000: Unstopped Term Error. Unstopped Word Error. 20 25 30 35 40 45 5020. ... 0 10 20 30 40 50 60 700.52. 0.54. 0.56. 0.58.

21 Feb 2022: 400 hour BULATS training set. 20. AM LM % WER.

19 Jun 2023: 20. Automatic Speech Recognition (ASR). • Hybrid ASR1. • Acoustic model:. •

20 Dec 2019: Furthermore, sequence-level training often yields abetter performance than frame-level training when training towardthe reference transcriptions [20]. ... The diagonal-covariance GMM for AMI-IHM had 20 mixture components perstate and used 13-dimensional

5 Apr 2016: the Gaussian sufficient statistics[19] and HMM mean and variance statistics [20]. ... 1117–1120. [20] Georg Heigold, Ralf Schlüter, and Hermann Ney, “On theequivalence of Gaussian HMM and Gaussian HMM-like hid-den conditional random fields.,” in

20 Feb 2018: 1All models were built in Python using Theano [19, 20]. Stochastic gra-dient descent per dialogue was used during backpropagation to train eachmodel, and almost no optimisation of hyper-parameters (learning ... 20] Frédéric Bastien, Pascal Lamblin,

19 Jan 2012: µ(m)sz = g̃(µ. (m)ye , µ̃l) (20). µ(m)z = J. (m)ye µ. ... Initially, acoustic models were compensatedbased on an initial estimation of the additive noise, using thefirst and last 20 frames of each utterance.

29 Apr 2006: λ(1)Dj = λ(2)Dj. (19). Then, writing. |Ci| =D. j=1. λ(i)j , (20). ... 12] K. K. Sung and T. Poggio. Example-based learning for view-basedhuman face detection.PAMI, 20(1), 1998.

13 Jun 2013: The model alsoallows for continuous features to be represented using spline featurefunctions [20], which have been shown to yield good performancefor confidence estimation with CRFs in previous work [16]. ... 45, no. 1-3, pp. 503–528, Aug. 1989. [20]

27 Jul 2020: 9. 0 5 10 15 20 25 30 35 40. distance along outer wall (mm). ... 0 5 10 15 20 25 30 35 40 45. distance along outer wall (mm).

23 Nov 2003: Translation of magnitude lessthan 20 pixels should yield a score between 1, as Figure2 shows. ... x. y. 0 5 10 15 20-5-10-15-20. 0. 5. 10. 15.

15 Feb 2005: Cambridge UniversityEngineering Department. RT04 EARS workshop 20. Recent Developments at Cambridge in Broadcast News Transcription. ... 0.16 0.18 0.2 0.22 0.24 0.2612. 14. 16. 18. 20. 22.