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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 Hits 1 – 20 of 20 1 Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems ... Udagawa, Takuma; Suzuki, Masayuki; Kurata, Gakuto. - : arXiv, 2022 BASE Show details 2 Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard ... Tüske, Zoltán; Saon, George; Audhkhasi, Kartik. - : arXiv, 2020 BASE Show details 3 Challenging the Boundaries of Speech Recognition: The MALACH Corpus ... Picheny, Michael; Tüske, Zóltan; Kingsbury, Brian. - : arXiv, 2019 BASE Show details 4 Building competitive direct acoustics-to-word models for English conversational speech recognition ... Audhkhasi, Kartik; Kingsbury, Brian; Ramabhadran, Bhuvana; Saon, George; Picheny, Michael. - : arXiv, 2017 Abstract: Direct acoustics-to-word (A2W) models in the end-to-end paradigm have received increasing attention compared to conventional sub-word based automatic speech recognition models using phones, characters, or context-dependent hidden Markov model states. This is because A2W models recognize words from speech without any decoder, pronunciation lexicon, or externally-trained language model, making training and decoding with such models simple. Prior work has shown that A2W models require orders of magnitude more training data in order to perform comparably to conventional models. Our work also showed this accuracy gap when using the English Switchboard-Fisher data set. This paper describes a recipe to train an A2W model that closes this gap and is at-par with state-of-the-art sub-word based models. We achieve a word error rate of 8.8%/13.9% on the Hub5-2000 Switchboard/CallHome test sets without any decoder or language model. We find that model initialization, training data order, and regularization have the most ... : Submitted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning stat.ML; Neural and Evolutionary Computing cs.NE URL: https://dx.doi.org/10.48550/arxiv.1712.03133 https://arxiv.org/abs/1712.03133 BASE Hide details 5 Bayesian sensing hidden Markov models Saon, George; Chien, Jen-tzung In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 1, 43-54 BLLDB OLC Linguistik Show details 6 Boosting systems for large vocabulary continuous speech recognition Saon, George; Soltau, Hagen In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 2, 212-218 BLLDB OLC Linguistik Show details 7 Advances in Arabic speech transcription at IBM under the DARPA GALE program Kuo, Hong-Kwang Jeff; Emami, Ahmad; Povey, Daniel... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 17 (2009) 5, 884-894 BLLDB OLC Linguistik Show details 8 Advances in speech transcription at IBM under the DARPA EARS program Kingsbury, Brian; Mangu, Lidia; Povey, Daniel... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 5, 1596-1608 BLLDB OLC Linguistik Show details 9 Arc minimization in finite-state decoding graphs with cross-word acoustic context Yvon, François; Zweig, Geoffrey; Saon, George In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 18 (2004) 4, 397-415 BLLDB Show details 10 Arc minimization in finite-state decoding graphs with cross-word acoustic context Yvon, François; Zweig, Geoffrey; Saon, George In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 18 (2004) 4, 397-416 OLC Linguistik Show details 11 Automatic speech recognition performance on a voicemail transcription task Padmanabhan, Mukund; Saon, George; Huang, Jing... In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 10 (2002) 7, 433-442 BLLDB Show details 12 Voicemail Corpus Part II Padmanabhan, Mukund; Kingsbury, Brian; Ramabhadran, Bhuvana. - : Linguistic Data Consortium, 2002. : https://www.ldc.upenn.edu, 2002 BASE Show details 13 Voicemail Corpus Part II ... Padmanabhan, Mukund; Kingsbury, Brian; Ramabhadran, Bhuvana. - : Linguistic Data Consortium, 2002 BASE Show details 14 Cursive word recognition using a random field based hidden Markov model Saon, George In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 1 (1999) 4, 199-208 BLLDB Show details 15 Cursive word recognition using a random field based hidden Markov model Saon, George In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 1 (1998) 4, 199-208 OLC Linguistik Show details 16 Binary Pattern Recognition Using Markov Random Fields and HMMs Saon, George; Belaïd, Abdel In: IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 1997 ; https://hal.inria.fr/inria-00537357 ; IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 1997, Apr 1997, Munich, Germany. pp.3725 - 3728, ⟨10.1109/ICASSP.1997.604678⟩ ; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=604678 (1997) BASE Show details 17 Off-line Handwritten Word Recognition Using a Mixed HMM-MRF Approach Saon, George; Belaïd, Abdel In: 4th International Conference on Document Analysis and Recognition - ICDAR'97 ; https://hal.inria.fr/inria-00537568 ; 4th International Conference on Document Analysis and Recognition - ICDAR'97, Aug 1997, Ulm, Germany. pp.118 - 122, ⟨10.1109/ICDAR.1997.619825⟩ ; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=619825 (1997) BASE Show details 18 One and two-dimensional Markov models for off-line handwriting recognition ; Modèles markoviens uni- et bidimensionnels pour la reconnaissance de l'écriture manuscrite hors-ligne Saon, George. - : HAL CCSD, 1997 In: https://hal.univ-lorraine.fr/tel-01747325 ; Autre [cs.OH]. Université Henri Poincaré - Nancy 1, 1997. Français. ⟨NNT : 1997NAN10299⟩ (1997) BASE Show details 19 Modèles markoviens uni- et bidimensionnels pour la reconnaissance de l'écriture manuscrite hors-ligne ; One and two-dimensional Markov models for off-line handwriting recognition Saon, George. - 1997 BASE Show details 20 Off-Line Handwriting Recognition by Statistical Correlation Saon, George; Belaïd, Abdel; Gong, Yifan In: IAPR Workshop on Machine Vision Applications - MVA'94 ; https://hal.inria.fr/inria-00533959 ; IAPR Workshop on Machine Vision Applications - MVA'94, IAPR, Dec 1994, Kawasaki, Japan. pp.371-374 ; http://b2.cvl.iis.u-tokyo.ac.jp/mva/proceedings/CommemorativeDVD/1994/papers/1994371.pdf (1994) BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 6 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 7 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 11 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0