{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:43:40Z","timestamp":1742964220696,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030368012"},{"type":"electronic","value":"9783030368029"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-36802-9_76","type":"book-chapter","created":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T18:03:03Z","timestamp":1575568983000},"page":"718-726","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Convolutional Grid Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition"],"prefix":"10.1007","author":[{"given":"Jiabin","family":"Xue","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tieran","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiqing","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"issue":"10","key":"76_CR1","doi-asserted-by":"publisher","first-page":"1533","DOI":"10.1109\/TASLP.2014.2339736","volume":"22","author":"O Abdel-Hamid","year":"2014","unstructured":"Abdel-Hamid, O., Mohamed, A.R., Jiang, H., Deng, L., Penn, G., Yu, D.: Convolutional neural networks for speech recognition. IEEE\/ACM Trans. Audio Speech Lang. Process. 22(10), 1533\u20131545 (2014)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"76_CR2","doi-asserted-by":"crossref","unstructured":"Abdel-Hamid, O., Mohamed, A., Jiang, H., Penn, G.: Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp. 4277\u20134280 (2012)","DOI":"10.1109\/ICASSP.2012.6288864"},{"key":"76_CR3","unstructured":"Graves, A., Jaitly, N., Mohamed, A.: EESEN: end-to-end speech recognition using deep RNN models and WFST-based decoding. In: IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU, pp. 1\u20134 (2015)"},{"issue":"8","key":"76_CR4","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"76_CR5","unstructured":"Kalchbrenner, N., Danihelka, I., Graves, A.: Grid long short-term memory. In: International Conference of Learning Representation, ICLR, pp. 1\u201315. Open Publishing (2016)"},{"key":"76_CR6","doi-asserted-by":"crossref","unstructured":"Li, B., Sainath, T.N.: Reducing the computational complexity of two-dimensional LSTMs. In: INTERSPEECH, pp. 964\u2013968 (2017)","DOI":"10.21437\/Interspeech.2017-1164"},{"key":"76_CR7","doi-asserted-by":"crossref","unstructured":"Panayotov, V., Chen, G., Povey, D., Khudanpur, S.: Librispeech: an ASR corpus based on public domain audio books. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp. 5206\u20135210 (2015)","DOI":"10.1109\/ICASSP.2015.7178964"},{"key":"76_CR8","unstructured":"Povey, D., et al.: The Kaldi speech recognition toolkit. In: IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU, pp. 1\u20134 (2011)"},{"key":"76_CR9","doi-asserted-by":"crossref","unstructured":"Pundak, G., Sainath, T.N.: Lower frame rate neural network acoustic models. In: INTERSPEECH, pp. 22\u201326 (2016)","DOI":"10.21437\/Interspeech.2016-275"},{"key":"76_CR10","doi-asserted-by":"crossref","unstructured":"Sainath, T.N., et al.: Improvements to deep convolutional neural networks for LVCSR. In: IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU, pp. 315\u2013320 (2013)","DOI":"10.1109\/ASRU.2013.6707749"},{"key":"76_CR11","doi-asserted-by":"crossref","unstructured":"Sainath, T.N., Li, B.: Modeling time-frequency patterns with LSTM vs. convolutional architectures for LVCSR tasks. In: INTERSPEECH, pp. 813\u2013817 (2016)","DOI":"10.21437\/Interspeech.2016-84"},{"key":"76_CR12","doi-asserted-by":"crossref","unstructured":"Sainath, T.N., Mohamed, A., Kingsbury, B., Ramabhadran, B.: Deep convolutional neural networks for LVCSR. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp. 8614\u20138618 (2013)","DOI":"10.1109\/ICASSP.2013.6639347"},{"key":"76_CR13","doi-asserted-by":"crossref","unstructured":"Sainath, T.N., Vinyals, O., Senior, A.W., Sak, H.: Convolutional, long short-term memory, fully connected deep neural networks. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp. 4580\u20134584 (2015)","DOI":"10.1109\/ICASSP.2015.7178838"},{"key":"76_CR14","unstructured":"Stollenga, M.F., Byeon, W., Liwicki, M., Schmidhuber, J.: Parallel multi-dimensional lstm, with application to fast biomedical volumetric image segmentation. In: Advances in Neural Information Processing Systems NIPS, pp. 2998\u20133006 (2015)"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36802-9_76","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:58:13Z","timestamp":1710262693000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-36802-9_76"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030368012","9783030368029"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36802-9_76","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ajiips.com.au\/iconip2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}