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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 7...11 Hits 41 – 60 of 217 41 Semantic Features Based N-Best Rescoring Methods for Automatic Speech Recognition Chang Liu; Pengyuan Zhang; Ta Li... In: Applied Sciences ; Volume 9 ; Issue 23 (2019) BASE Show details 42 A Novel Multiscale Modelling Approach for Evaluation of the ASR in Concrete Structures Jalal, Mostafa; Mirsayar, M; Mukhopadhyay, Anol In: International Conference on Durability of Concrete Structures (2019) BASE Show details 43 Alkali Reactive Carbonate Rocks: Is it Alkali Silica Reaction (ASR) or Alkali Carbonate Reaction (ACR)? Beyene, Mengesha; Meininger, RC In: International Conference on Durability of Concrete Structures (2019) BASE Show details 44 The benefits of acoustic perceptual information for speech processing systems He, Di. - 2019 BASE Show details 45 The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines Barker, Jon; Watanabe, Shinji; Vincent, Emmanuel... In: Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-01744021 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India (2018) BASE Show details 46 An automatic study of lenition of intra-lexical intervocalic /bdg/ and coda -s in Peninsular vs America spanish Hernandez, Nidia; Vasilescu, Ioana; Dimulescu-Vieru, Bianca... In: Laboratory Phonology Conference ; https://hal.archives-ouvertes.fr/hal-01837162 ; Laboratory Phonology Conference, Jun 2018, Lisbonne, Portugal (2018) BASE Show details 47 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 48 Studying variation in Romanian: deletion of the definite article -l in continuous speech Vasilescu, Ioana; Chitoran, Ioana; Dimulescu-Vieru, Bianca... In: Linguistic Vanguard ; https://hal.archives-ouvertes.fr/hal-01837197 ; Linguistic Vanguard, 2018, 5 (1), 17p (2018) BASE Show details 49 Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville) Rialland, Annie; Adda-Decker, Martine; Kouarata, Guy-Noël... In: 11th edition of the Language Resources and Evaluation Conference (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01710043 ; 11th edition of the Language Resources and Evaluation Conference (LREC 2018), ELRA, May 2018, Miyazaki, Japan (2018) BASE Show details 50 Alkali Release from Aggregates in Long-Service Concrete Structures: Laboratory Test Evaluation and ASR Prediction Mario Berra; Teresa Mangialardi; Antonio Evangelista Paolini In: Materials ; Volume 11 ; Issue 8 (2018) BASE Show details 51 An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition Lozano-Diez, Alicia; Zazo, Rubén; Toledano, Doroteo T.. - : Public Library of Science, 2018 BASE Show details 52 Desarrollo de un sistema de Reconocimiento Automático del Habla en Rumano para el subtitulado de vídeos educativos Colompar, Beniamin Cristian. - : Universitat Politècnica de València, 2018 BASE Show details 53 An analysis of environment, microphone and data simulation mismatches in robust speech recognition Vincent, Emmanuel; Watanabe, Shinji; Nugraha, Aditya Arie... In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.inria.fr/hal-01399180 ; Computer Speech and Language, Elsevier, 2017, 46, pp.535-557. ⟨10.1016/j.csl.2016.11.005⟩ (2017) BASE Show details 54 The third 'CHIME' speech separation and recognition challenge: Analysis and outcomes Barker, Jon; Marxer, Ricard; Vincent, Emmanuel... In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.inria.fr/hal-01382108 ; Computer Speech and Language, Elsevier, 2017, 46, pp.605-626. ⟨10.1016/j.csl.2016.10.005⟩ (2017) BASE Show details 55 A combined evaluation of established and new approaches for speech recognition in varied reverberation conditions Sivasankaran, Sunit; Vincent, Emmanuel; Illina, Irina In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.inria.fr/hal-01461382 ; Computer Speech and Language, Elsevier, 2017, 46, pp.444-460. ⟨10.1016/j.csl.2017.02.003⟩ (2017) BASE Show details 56 Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach Kaewtip, Kantapon. - : eScholarship, University of California, 2017 BASE Show details 57 Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach Kaewtip, Kantapon. - : eScholarship, University of California, 2017 In: Kaewtip, Kantapon. (2017). Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach. UCLA: Electrical Engineering 0303. Retrieved from: http://www.escholarship.org/uc/item/1jg3d8z6 (2017) BASE Show details 58 Results from Visual Inspection and Laboratory Testing for ASR in Existing Concrete Cores from Bridges and Pavements in California Li, H.; Harvey, J.; Asselanis, J.; Zhou, J.; Guada, I.; Kannekanti, V.; Wu, R.. - : eScholarship, University of California, 2017 Abstract: The overall goal of this project was to evaluate with available cores the presence of alkali-silica reaction (ASR) in California bridges and pavements, to develop procedures for evaluation of ASR by Caltrans staff, and, potentially, to investigate several locations suspected of having ASR damage. This report summarizes the creation of an inventory for cores taken from bridges and pavements in previous projects, the results of visual inspection and strength testing to identify the potential presence of ASR, and the development of a draft approach for Caltrans staff to evaluate the potential for ASR in bridges and pavements. A spreadsheet database was prepared for storing inventory data for 265 pavement cores with four inch (100 mm) diameter and 311 bridge cores with two inch (50 mm) diameter. Most of the bridge cores were from the San Francisco Bay Area, while the pavement cores were collected from across the state. Visual inspection was performed on 259 of the pavement cores (including multiple samples from some of the pavement cores) and 80 of the bridge cores (those with lengths greater than the three-inch minimum required for evaluation of ASR) using the Damage Rating Index (DRI) method. None of the cores showed the likelihood of an ASR issue, as defined by a DRI greater than 2,000, although a few cores showed a small number of ASR features. Comparison of the ages of the bridges and the ASR damage rating index for the cores showed almost no trend, and showed no apparent differences between cores from bridges built before and after 1995, approximately when Caltrans changed specifications to reduce the risk of ASR. Most of the pavement cores tested had unconfined compressive strength (UCS) less than 8,700 psi (60 MPa) and the median of the UCS of the pavement cores was approximately 6,100 psi (42 MPa). Most of the pavement cores tested had densities less than 156 pcf (2,500 kg/m3 ) and the median of the UCS of the pavement cores was approximately 147 pcf (2,350 kg/m3 ). No significant correlation was found between the UCS and the density of the pavement cores tested, although the UCS strengths generally increased with increased density. The bridge cores were too small in diameter for strength and density testing. An integrated spreadsheet database was prepared for storing all relevant data for all cores, including test results from all tasks (DRI, UCS, and density). A draft guideline was developed for visual inspection of concrete cores to identify signs of potential ASR-related distresses and to support decisions regarding the need for a further detailed investigation for ASR. The guideline describes step-by-step inspection procedures and selection criteria for a further detailed examination, with relevant example pictures showing different severity levels of potential ASR distresses. Keyword: ASR; bridge decks; concrete pavements; damage; petrographic examination; strength; visual inspection URL: https://escholarship.org/uc/item/12n6p5xv BASE Hide details 59 EFCL Channelizer Klusáček, David. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 60 Cross-Lingual Voice Conversion with Non-Parallel Data ... Alonso-Jiménez, Pablo. - : Zenodo, 2017 BASE Show details Page: 1 2 3 4 5 6 7...11

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