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UK Speech Conference 2017
mi.eng.cam.ac.uk/UKSpeech2017/17 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. -
Deep Learning for Speech Recognition
mi.eng.cam.ac.uk/~mjfg/LxMLS17.pdf29 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. -
STIMULATED TRAINING FOR AUTOMATIC SPEECH RECOGNITION ANDKEYWORD…
mi.eng.cam.ac.uk/~ar527/ragni_icassp2017b.pdf22 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. -
IB-interestpoints.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-IB-handout2.pdf18 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. -
UK Speech Conference 2017 Programme
mi.eng.cam.ac.uk/UKSpeech2017/programme.html23 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. -
MORPH-TO-WORD TRANSDUCTION FOR ACCURATE AND EFFICIENT AUTOMATICSPEECH …
mi.eng.cam.ac.uk/~ar527/ragni_icassp2017a.pdf22 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. -
Low-Resource Speech Recognition and Keyword-Spotting
mi.eng.cam.ac.uk/~mjfg/SPECOM_2017.pdf29 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 -
TEMPLATE DESIGN © 2008www.PosterPresentations.com Phase Processing…
mi.eng.cam.ac.uk/UKSpeech2017/posters/e_loweimi.pdf17 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. -
Modular Construction of Complex Deep Learning Architectures in HTK
mi.eng.cam.ac.uk/UKSpeech2017/posters/f_kreyssig.pdf20 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 -
Template.dvi
mi.eng.cam.ac.uk/~ar527/chen_icassp2017a.pdf22 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, -
Experimental Studies on Teacher-student Training of Deep Neural…
mi.eng.cam.ac.uk/UKSpeech2017/posters/q_li.pdf20 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 -
UKspeech2017
mi.eng.cam.ac.uk/UKSpeech2017/posters/y_wang.pdf17 Nov 2017: 0. 20. 40. 60. 80. 100. % o. f Utte. ranc. -
The University of Birmingham 2017 SLaTE CALL Shared Task Systems
mi.eng.cam.ac.uk/UKSpeech2017/posters/m_qian.pdf20 Nov 2017: 50% vs. 20%. • PF-STAR German: German children aged 10-13, 3.38 hours of read speech.Acoustic Model. • -
Genigraphics Research Poster Template A0/A1
mi.eng.cam.ac.uk/UKSpeech2017/posters/m_al-radhi.pdf17 Nov 2017: 20, no. 1, pp. 102-105, 2013. [4] T. Drugman and Y. -
An avatar-based system for identifying individuals likely to develop…
mi.eng.cam.ac.uk/UKSpeech2017/posters/b_mirheidari.pdf17 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 -
A learned emotion space for emotion recognition and emotive speech…
mi.eng.cam.ac.uk/UKSpeech2017/posters/z_hodari_poster.pdf23 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. -
Template.dvi
mi.eng.cam.ac.uk/~mjfg/CUED-Chen-RNNLMKWS.pdf22 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, -
University of CambridgeEngineering Part IB Information Engineering…
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-2.pdf18 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. -
MORPH-TO-WORD TRANSDUCTION FOR ACCURATE AND EFFICIENT AUTOMATICSPEECH …
mi.eng.cam.ac.uk/~mjfg/CUED-Ragni-Morph-To-Word.pdf22 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. -
STIMULATED TRAINING FOR AUTOMATIC SPEECH RECOGNITION ANDKEYWORD…
mi.eng.cam.ac.uk/~mjfg/CUED-Ragni-Stimulated-ASR-KWS.pdf22 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.
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