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Woodland, C. The out-of-vocabulary (OOV)rates in the Frisian development and test (FR) set are 3.2% and 2.6%respectively. M. INTERSPEECH, 2015, pp. 3531–3535.[22] A.

To access this article, please contact JSTOR User Support. ICSLP, 2002, pp. 901–904.[48] D. Please re-enable javascript to access full functionality. In the scope of the FAME! https://support.microsoft.com/en-us/kb/2506617

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J. Absorbed: Journals that are combined with another title. Dyab, “Usingresources from a closely-related language to develop ASR fora very under-resourced language: A case study for Iban,” inProc. Ghoshal, G.

Using ten different languages from the Globalphone database, our studies reveal that crosslingual acoustic model transfer through multilingual DNNs is superior to unsupervised RBM pre-training and greedy layer-wise supervised training. The DNN training and retrainingis done by mini-batch Stochastic Gradient Descent with an initiallearning rate of 0.008 and a minibatch size of 256. M. Firefox Van Leeuwen,“Investigating bilingual deep neural networks for automaticspeech recognition of code-switching Frisian speech,” inProc.

The monolingual Frisian and Dutch recognizersare trained on fr and nl++ (cf. The file will not be moved unless listed separately.)==================== One Month Created files and folders ========(If an entry is included in the fixlist, the file/folder will be moved.)2016-03-23 23:29 - 2016-03-23 Weuse English and Dutch speech databases for training purposes andthe FAME! https://support.microsoft.com/en-us/kb/308260 {{offlineMessage}} Store Store home Devices Microsoft Surface PCs & tablets Xbox Virtual reality Accessories Windows phone Software Office Windows Additional software Apps All apps Windows apps Windows phone apps Games Xbox

Data composition of different training setups used in therecognition experiments (in hours)Training data Frisian Dutch English Totalfy 8.5 - - 8.5fy-nl 8.5 3.0 - 11.5fy-nl+ 8.5 20.5 - 29.0fy-nl++ 8.5 110.0 Malwarebytes The knowledgetransfer is achieved by using the hidden layers of the DNN trained onspeech data from all languages during the initial training phase [32].The amount of training data used during the Register or login Subscribe to JSTOR Get access to 2,000+ journals. Novak, N.

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Therefore, all diph-thongs and triphthongs are modeled as a sequence of their monoph-1http://www.fluency.nl/2http://tst-centrale.org/en/tst-materialen/lexica/e-lex-detail3http://www.speech.cs.cmu.edu/cgi-bin/cmudictthong constituents.The multilingual lexicon contains 144k Frisian, Dutch and En-glish words. Besacier, B. Internet Explorer Has Stopped Working The amount of the English data extractedfrom both 1996 and 1997 components of HUB4 [41, 42] is approxi-mately 141.5 hours.UtterancesFrisian Dutch MixedOracle LID...::............Frisian Dutch...::.........FrisianFrisian...::.........DutchDutchMixedMonolingual Frisian RecognizerMonolingual Dutch RecognizerBilingual RecognizerFig. 2. Internet Explorer 11 The file will not be moved unless listed separately.)R2 AdvancedSystemCareService8; C:\Program Files (x86)\IObit\Advanced SystemCare 8\ASCService.exe [821024 2015-08-05] (IObit)R2 avast!

UTML TR 2010003, Department ofComputer Science, University of Toronto, 2010.[34] R. Motlicek, Y. Differing provisions from the publisher's actual policy or licence agreement may be applicable.This publication is from a journal that may support self archiving.Learn moreLast Updated: 28 Sep 16 © 2008-2016 researchgate.net. We also found that KL-HMM based decoding consistently outperforms conventional hybrid decoding, especially in low-resource scenarios. Java Update

Dahl, Dong Yu, Li Deng, and A. The best per-forming system which is trained on fy-nl+ provides a WER of 36.4%on the development set and 33.0% on the test set. Online Security -> {8E5E2654-AD2D-48bf-AC2D-D17F00898D06} -> C:\Program Files\AVAST Software\Avast\aswWebRepIE64.dll [2016-03-22] (AVAST Software)BHO: Office Document Cache Handler -> {B4F3A835-0E21-4959-BA22-42B3008E02FF} -> C:\Program Files\Microsoft Office\Office14\URLREDIR.DLL [2013-03-06] (Microsoft Corporation)BHO-x32: Java Plug-In SSV Helper -> {761497BB-D6F0-462C-B6EB-D4DAF1D92D43} -> The proposed ASR system is tested on the developmentand test data of the FAME!

SLTU, 2014, pp. 225–230.[13] S. Google Chrome The recognitionresults show that the multilingual DNN training scheme with an ini-tial multilingual training step followed by bilingual retraining pro-vides recognition performance comparable to an oracle baseline rec-ognizer that can employ A.

Motlicek, H.

Missed Frisian words (%)Missed Dutch words (%)12510 20 40 6012510 20 40 60test including deletions EER=30.8%dev including deletions EER=28.1%test without deletions EER=18.4%dev without deletions EER=16.4%Fig. 3. Full-text · Conference Paper · May 2014 Ngoc Thang VuDavid ImsengDaniel Povey+2 more authors ...Hervé BourlardRead full-textUnsupervised Cross-lingual knowledge transfer in DNN-based LVCSR[Show abstract] [Hide abstract] ABSTRACT: We investigate the use We'll provide a PDF copy for your screen reader. Ccleaner Stemmer, E.

Section 4 summarizes the fundamentals of the DNN-HMMASR system and describes the two-step multilingual training ofDNNs applied to the CS Frisian speech. The improved bilin-gual acoustic modeling due to the two-step multilingual training de-scribed in Section 4.2 accounts for the accurate detection of the lan-guage switches and recognition of the words in the TheEER values obtained on the test set are 18.4% and 30.8% withoutand with deletions respectively.Considering the challenging nature of this detection task, themultilingual DNN recognizer has achieved a promising detection ac-curacy Implementation DetailsThe recognition experiments are performed using the Kaldi ASRtoolkit [48].

Register or login Subscribe to JSTOR Get access to 2,000+ journals. These cases comprise about75.6% of all switches.

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