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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 38 1 Current trends in multilingual speech processing BOURLARD, HERVÉ; DINES, JOHN; MAGIMAI-DOSS, MATHEW. - 2018 BASE Show details 2 Comparative Study on Sentence Boundary Prediction for German and English Broadcast News Wang, Yang; Nanchen, Alexandre; Lazaridis, Alexandros... In: http://infoscience.epfl.ch/record/229982 (2017) BASE Show details 3 Exploiting foreign resources for DNN-based ASR Motlicek, Petr; Imseng, David; Potard, Blaise... In: http://infoscience.epfl.ch/record/210038 (2015) BASE Show details 4 Exploiting foreign resources for DNN-based ASR Imseng, David; Potard, Blaise; Motlicek, Petr... In: http://infoscience.epfl.ch/record/210027 (2015) BASE Show details 5 Using out-of-language data to improve an under-resourced speech recognizer Imseng, David; Motlicek, Petr; Bourlard, Hervé... In: Speech communication. - Amsterdam [u.a.] : Elsevier 56 (2014), 142-151 OLC Linguistik Show details 6 Automatic Speech Recognition and Translation of a Swiss German Dialect: Walliserdeutsch Garner, Philip N.; Imseng, David; Meyer, Thomas In: http://infoscience.epfl.ch/record/202570 (2014) BASE Show details 7 Development of Bilingual ASR System for MediaParl Corpus Motlicek, Petr; Imseng, David; Cernak, Milos... In: http://infoscience.epfl.ch/record/203858 (2014) BASE Show details 8 Multilingual Deep Neural Network based Acoustic Modeling For Rapid Language Adaptation Vu, Ngoc Thang; Imseng, David; Povey, Daniel... In: http://infoscience.epfl.ch/record/198446 (2014) BASE Show details 9 Posterior-based Sparse Representation for Automatic Speech Recognition Bahaadini, Sara; Asaei, Afsaneh; Imseng, David... In: http://infoscience.epfl.ch/record/200299 (2014) BASE Show details 10 Development of Bilingual ASR System for MediaParl Corpus Motlicek, Petr; Imseng, David; Cernak, Milos... In: http://infoscience.epfl.ch/record/203869 (2014) BASE Show details 11 Applying multi-and cross-lingual stochastic phone space transformations to non-native speech recognition Imseng, David; Bourlard, Herve; Dines, John... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 21 (2013) 8, 1713-1726 OLC Linguistik Show details 12 Multilingual speech recognition:a posterior based approach ... Imseng, David. - : Lausanne, EPFL, 2013 BASE Show details 13 MediaParl ... Imseng, David; Bourlard, Hervé; Caesar, Holger. - : Idiap Research Institute, 2013 BASE Show details 14 Comparing different acoustic modeling techniques for multilingual boosting Imseng, David; Dines, John; Motlicek, Petr... In: http://infoscience.epfl.ch/record/192725 (2013) BASE Show details 15 Using out-of-language data to improve an under-resourced speech recognizer Bourlard, Hervé; Imseng, David; Motlicek, Petr; Garner, Philip N. In: http://infoscience.epfl.ch/record/192457 (2013) Abstract: Under-resourced speech recognizers may benefit from data in languages other than the target language. In this paper, we report how to boost the performance of an Afrikaans automatic speech recognition system by using already available Dutch data. We successfully exploit available multilingual resources through 1) posterior features, estimated by multilayer perceptrons (MLP) and 2) subspace Gaussian mixture models (SGMMs). Both the MLPs and the SGMMs can be trained on out-of-language data. We use three different acoustic modeling techniques, namely Tandem, Kullback-Leibler divergence based HMMs (KL-HMM) as well as SGMMs and show that the proposed multilingual systems yield 12% relative improvement compared to a conventional monolingual HMM/GMM system only trained on Afrikaans. We also show that KL-HMMs are extremely powerful for under-resourced languages: using only six minutes of Afrikaans data (in combination with out-of-language data), KL-HMM yields about 30% relative improvement compared to conventional maximum likelihood linear regression and maximum a posteriori based acoustic model adaptation. URL: http://infoscience.epfl.ch/record/192457 http://publications.idiap.ch/index.php/publications/showcite/Imseng_SPECOM_2013 http://infoscience.epfl.ch/record/192457/files/Imseng_Idiap-RR-09-2013.pdf BASE Hide details 16 Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans Imseng, David; Bourlard, Hervé; Garner, Philip N. In: http://infoscience.epfl.ch/record/192728 (2013) BASE Show details 17 Multilingual speech recognition:a posterior based approach Imseng, David In: http://infoscience.epfl.ch/record/187003 (2013) BASE Show details 18 Application of Subspace Gaussian Mixture Models in Contrastive Acoustic Scenarios Motlicek, Petr; Garner, Philip N.; Imseng, David... In: http://infoscience.epfl.ch/record/192544 (2013) BASE Show details 19 Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition Imseng, David; Bourlard, Hervé; Dines, John... In: http://infoscience.epfl.ch/record/189424 (2013) BASE Show details 20 Using out-of-language data to improve an under-resourced speech recognizer Motlicek, Petr; Imseng, David; Bourlard, Hervé... In: http://infoscience.epfl.ch/record/192727 (2013) BASE Show details Page: 1 2

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