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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 3 4 5 6...8 Hits 21 – 40 of 146 21 Bayesian models for unit discovery on a very low resource language Ondel, Lucas; Godard, Pierre; Besacier, Laurent... In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-01709589 ; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Alberta, Canada (2018) BASE Show details 22 A keyword search system using open source software ... Trmal, Jan; Guoguo Chen; Povey, Dan. - : Figshare, 2018 BASE Show details 23 Low-Resource Contextual Topic Identification on Speech ... Liu, Chunxi; Wiesner, Matthew; Watanabe, Shinji. - : arXiv, 2018 BASE Show details 24 ENHANCEMENT AND ANALYSIS OF CONVERSATIONAL SPEECH: JSALT 2017 Profant, Jan; Tsao, Yu; Du, Jun. - : IEEE, 2018 BASE Show details 25 Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$ Sirunyan, Albert M; Tumasyan, Armen; Adam, Wolfgang. - 2017 BASE Show details 26 An Empirical Evaluation of Zero Resource Acoustic Unit Discovery ... Liu, Chunxi; Yang, Jinyi; Sun, Ming; Kesiraju, Santosh; Rott, Alena; Ondel, Lucas; Ghahremani, Pegah; Dehak, Najim; Burget, Lukas; Khudanpur, Sanjeev. - : arXiv, 2017 Abstract: Acoustic unit discovery (AUD) is a process of automatically identifying a categorical acoustic unit inventory from speech and producing corresponding acoustic unit tokenizations. AUD provides an important avenue for unsupervised acoustic model training in a zero resource setting where expert-provided linguistic knowledge and transcribed speech are unavailable. Therefore, to further facilitate zero-resource AUD process, in this paper, we demonstrate acoustic feature representations can be significantly improved by (i) performing linear discriminant analysis (LDA) in an unsupervised self-trained fashion, and (ii) leveraging resources of other languages through building a multilingual bottleneck (BN) feature extractor to give effective cross-lingual generalization. Moreover, we perform comprehensive evaluations of AUD efficacy on multiple downstream speech applications, and their correlated performance suggests that AUD evaluations are feasible using different alternative language resources when only a subset ... : 5 pages, 1 figure; Accepted for publication at ICASSP 2017 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1702.01360 https://dx.doi.org/10.48550/arxiv.1702.01360 BASE Hide details 27 Extending and Improving Wordnet via Unsupervised Word Embeddings ... Khodak, Mikhail; Risteski, Andrej; Fellbaum, Christiane. - : arXiv, 2017 BASE Show details 28 Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework ... Zhang, Xiaohui; Manohar, Vimal; Povey, Daniel. - : arXiv, 2017 BASE Show details 29 Neocortical Origin and Progression of Grey Matter Atrophy In Non-Amnestic Alzheimer’s Disease Phillips, Jeffrey S.; Re, Fulvio Da; Dratch, Laynie. - 2017 BASE Show details 30 StreamQRE: Modular Specification and Efficient Evaluation of Quantitative Queries over Streaming Data* Mamouras, Konstantinos; Raghothaman, Mukund; Alur, Rajeev. - 2017 BASE Show details 31 Effect Of Free Play On Neuropsychological Ability Of School Children ... Choudhary, Swati; Kumar, Pradeep; Kumar, Sanjeev. - : Zenodo, 2016 BASE Show details 32 Linear Algebraic Structure of Word Senses, with Applications to Polysemy ... Arora, Sanjeev; Li, Yuanzhi; Liang, Yingyu. - : arXiv, 2016 BASE Show details 33 A Latent Variable Model Approach to PMI-based Word Embeddings ... Arora, Sanjeev; Li, Yuanzhi; Liang, Yingyu. - : arXiv, 2015 BASE Show details 34 Fisher and CALLHOME Spanish--English Speech Translation Post, Matt; Kumar, Gaurav; Lopez, Adam. - : Linguistic Data Consortium, 2014. : https://www.ldc.upenn.edu, 2014 BASE Show details 35 Fisher and CALLHOME Spanish--English Speech Translation ... Post, Matt; Kumar, Gaurav; Lopez, Adam. - : Linguistic Data Consortium, 2014 BASE Show details 36 A keyword search system using open source software ... Trmal, Jan; Guoguo Chen; Povey, Dan. - : Carnegie Mellon University, 2014 BASE Show details 37 Tyrosine ameliorates heat induced delay in event related potential P300 and contingent negative variation Kishore, Krishna; Ray, Koushik; Anand, J.P.... In: Brain and cognition. - San Diego, Calif. [u.a.] : Elsevier Science 83 (2013) 3, 324-329 OLC Linguistik Show details 38 Quantifying the value of pronunciation lexicons for keyword search in low resource languages Guoguo Chen; Sanjeev Khudanpur; Daniel Povey... In: http://www.clsp.jhu.edu/%7Eguoguo/papers/icassp2013_lexicon_value.pdf (2013) BASE Show details 39 A Summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition Jansen, Aren; Dupoux, Emmanuel; Seltzer, Mike. - : Piscataway, NJ : IEEE, 2013 BASE Show details 40 A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition ... Jansen, Aren; Dupoux, Emmanuel; Goldwater, Sharon. - : Carnegie Mellon University, 2013 BASE Show details Page: 1 2 3 4 5 6...8

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