{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T05:43:20Z","timestamp":1725860600095},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319406626"},{"type":"electronic","value":"9783319406633"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-40663-3_48","type":"book-chapter","created":{"date-parts":[[2016,7,1]],"date-time":"2016-07-01T06:46:49Z","timestamp":1467355609000},"page":"418-425","source":"Crossref","is-referenced-by-count":2,"title":["Language Models with RNNs for Rescoring Hypotheses of Russian ASR"],"prefix":"10.1007","author":[{"given":"Irina","family":"Kipyatkova","sequence":"first","affiliation":[]},{"given":"Alexey","family":"Karpov","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,7,2]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Schwenk, H., Gauvain, J.-L.: Training neural network language models on very large corpora. In: Proceedings of the Conference on Empirical Methods on Natural Language Processing. Association for Computational Linguistics, Vancouver, B.C., Canada, pp. 201\u2013208 (2005)","key":"48_CR1","DOI":"10.3115\/1220575.1220601"},{"doi-asserted-by":"crossref","unstructured":"Mikolov, T., Karafiat, M., Burget, L., Cernocky, J., Khudanpur, S.: Recurrent neural network based language model. In: Proceedings of INTERSPEECH 2010, vol. 2, pp. 1045\u20131048. Makuhari, Chiba, Japan (2010)","key":"48_CR2","DOI":"10.21437\/Interspeech.2010-343"},{"doi-asserted-by":"crossref","unstructured":"Sundermeyer, M., Oparin, I., Gauvain, J.-L., Freiberg, B., Schluter, R., Ney, H.: Comparison of feedforward and recurrent neural network language models. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, B.C., Canada, pp. 8430\u20138434 (2013)","key":"48_CR3","DOI":"10.1109\/ICASSP.2013.6639310"},{"doi-asserted-by":"crossref","unstructured":"Mikolov, T., Deoras, A., Povey, D., Burget L., \u010cernock\u00fd, J.: Strategies for training large scale neural network language models. In: Proceedings of ASRU 2011, Hawaii, pp. 196\u2013201 (2011)","key":"48_CR4","DOI":"10.1109\/ASRU.2011.6163930"},{"doi-asserted-by":"crossref","unstructured":"Huang, Z., Zweig, G., Dumoulin, B.: Cache based recurrent neural network language model inference for first pass speech recognition. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014, Florence, Italy, pp. 6404\u20136408 (2014)","key":"48_CR5","DOI":"10.1109\/ICASSP.2014.6854827"},{"doi-asserted-by":"crossref","unstructured":"Shi, Y., Larson, M., Wiggers, P., Jonker, C.M.: Exploiting the succeeding words in recurrent neural network. In: Proceedings of INTERSPEECH 2013, Lyon, France, pp. 632\u2013636 (2013)","key":"48_CR6","DOI":"10.21437\/Interspeech.2013-183"},{"doi-asserted-by":"crossref","unstructured":"Chen, X., Liu, X., Gales, M.J.F., Woodland, P.C.: Recurrent neural network language model training with noise contrastive estimation for speech recognition. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pp. 5411\u20135415 (2015)","key":"48_CR7","DOI":"10.1109\/ICASSP.2015.7179005"},{"doi-asserted-by":"crossref","unstructured":"Morioka, T., Iwata, T., Hori, T., Kobayashi, T.: Multiscale recurrent neural network based language model. In: Proceedings of INTERSPEECH 2015, Dresden, Germany, pp. 2366\u20132370 (2015)","key":"48_CR8","DOI":"10.21437\/Interspeech.2015-512"},{"doi-asserted-by":"crossref","unstructured":"Liu, X., Chen, X., Gales, M.J.F., Woodland, P.C.: Paraphrastic recurrent neural network language models. In: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pp. 5406\u20135410 (2015)","key":"48_CR9","DOI":"10.1109\/ICASSP.2015.7179004"},{"doi-asserted-by":"crossref","unstructured":"Sundermeyer, M., Schl\u00fcter, R., Ney, H.: LSTM neural networks for language modeling. In: Proceedings of INTERSPEECH 2012, pp. 194\u2013197 (2012)","key":"48_CR10","DOI":"10.21437\/Interspeech.2012-65"},{"doi-asserted-by":"crossref","unstructured":"Vu, N.T., Schultz, T.: Exploration of the impact of maximum entropy in recurrent neural network language models for code-switching speech. In: Proceedings of 1st Workshop on Computational Approaches to Code Switching, Doha, Qatar, pp. 34\u201341 (2014)","key":"48_CR11","DOI":"10.3115\/v1\/W14-3904"},{"doi-asserted-by":"crossref","unstructured":"Tachioka, Y., Watanabe, S.: Discriminative method for recurrent neural network language models. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pp. 5386\u20135390 (2015)","key":"48_CR12","DOI":"10.1109\/ICASSP.2015.7179000"},{"key":"48_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1007\/978-3-319-01931-4_17","volume-title":"Speech and Computer","author":"D Vazhenina","year":"2013","unstructured":"Vazhenina, D., Markov, K.: Evaluation of advanced language modeling techniques for Russian LVCSR. In: \u017delezn\u00fd, M., Habernal, I., Ronzhin, A. (eds.) SPECOM 2013. LNCS, vol. 8113, pp. 124\u2013131. Springer, Heidelberg (2013)"},{"doi-asserted-by":"crossref","unstructured":"Mikolov, T., Kombrink, S., Burget, L., \u010cernock\u00fd, J.H., Khudanpur, S.: Extensions of recurrent neural network language model. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5528\u20135531 (2011)","key":"48_CR14","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"48_CR15","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.specom.2013.07.004","volume":"56","author":"A Karpov","year":"2014","unstructured":"Karpov, A., Markov, K., Kipyatkova, I., Vazhenina, D., Ronzhin, A.: Large vocabulary Russian speech recognition using syntactico-statistical language modeling. Speech Commun. 56, 213\u2013228 (2014)","journal-title":"Speech Commun."},{"unstructured":"Stolcke, A., Zheng, J., Wang, W., Abrash, V.: SRILM at sixteen: update and outlook. In: Proceedings of IEEE Automatic Speech Recognition and Understanding Workshop ASRU 2011, Waikoloa, Hawaii, USA (2011)","key":"48_CR16"},{"key":"48_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/978-3-319-01931-4_29","volume-title":"Speech and Computer","author":"I Kipyatkova","year":"2013","unstructured":"Kipyatkova, I., Karpov, A.: Lexicon size and language model order optimization for Russian LVCSR. In: \u017delezn\u00fd, M., Habernal, I., Ronzhin, A. (eds.) SPECOM 2013. LNCS, vol. 8113, pp. 219\u2013226. Springer, Heidelberg (2013)"},{"doi-asserted-by":"crossref","unstructured":"Mikolov, T., Kombrink, S., Deoras, A., Burget, L., \u010cernock\u00fd, J.: RNNLM-recurrent neural network language modeling toolkit. In: ASRU-2011, Demo Session (2011)","key":"48_CR18","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"48_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1007\/978-3-319-23132-7_5","volume-title":"Speech and Computer","author":"I Kipyatkova","year":"2015","unstructured":"Kipyatkova, I., Karpov, A.: A comparison of RNN LM and FLM for Russian speech recognition. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds.) SPECOM 2015. LNCS, vol. 9319, pp. 42\u201350. Springer, Heidelberg (2015)"},{"doi-asserted-by":"crossref","unstructured":"Kipyatkova, I., Karpov, A.: Recurrent neural network-based language modeling for an automatic Russian speech recognition system. In: Proceedings of International Conference AINL-ISMW FRUCT, St. Petersburg, Russia, pp. 33\u201338 (2015)","key":"48_CR20","DOI":"10.1109\/AINL-ISMW-FRUCT.2015.7382966"},{"unstructured":"Moore, G.L.: Adaptive Statistical Class-Based Language Modelling. Ph.D. thesis, Cambridge University (2001)","key":"48_CR21"},{"unstructured":"Jokisch, O., Wagner, A., Sabo, R., Jaeckel, R., Cylwik, N., Rusko, M., Ronzhin, A., Hoffmann, R.: Multilingual speech data collection for the assessment of pronunciation and prosody in a language learning system. In: Proceedings of SPECOM 2009, St. Petersburg, Russia, pp. 515\u2013520 (2009)","key":"48_CR22"},{"unstructured":"Lee, A., Kawahara, T.: Recent development of open-source speech recognition engine julius. In: Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2009, Sapporo, Japan, pp. 131\u2013137 (2009)","key":"48_CR23"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-40663-3_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T14:11:15Z","timestamp":1656771075000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-40663-3_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319406626","9783319406633"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-40663-3_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}