{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T10:54:47Z","timestamp":1730199287479,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/asru46091.2019.9003898","type":"proceedings-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T07:01:33Z","timestamp":1582268493000},"page":"547-553","source":"Crossref","is-referenced-by-count":0,"title":["Simplified LSTMS for Speech Recognition"],"prefix":"10.1109","author":[{"given":"George","family":"Saon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zoltan","family":"Tuske","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kartik","family":"Audhkhasi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Kingsbury","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Picheny","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuel","family":"Thomas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Improved training of end-to-end attention models for speech recognition","year":"2018","author":"zeyer","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1423"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638949"},{"key":"ref32","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"NIPS-W"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683706"},{"key":"ref37","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref36","first-page":"1058","article-title":"Regularization of neural networks using drop-connect","volume":"28","author":"wan","year":"2013","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref35","article-title":"Regularizing and optimizing LSTM language models","author":"merity","year":"2018","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2009.4960445"},{"key":"ref10","article-title":"Unfolded recurrent neural networks for speech recognition","author":"saon","year":"2014","journal-title":"Fifteenth Annual Conference of the International Speech Communication Association"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2003.1198756"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461608"},{"key":"ref12","first-page":"1120","article-title":"Unitary evolution recurrent neural networks","author":"arjovsky","year":"2016","journal-title":"International Conference on Machine Learning"},{"journal-title":"Learning phrase representations using RNN encoder-decoder for statistical machine translation","year":"2014","author":"cho","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-016-1006-2"},{"journal-title":"Training RNNs as fast as CNNs","year":"2017","author":"lei","key":"ref15"},{"key":"ref16","first-page":"10642","article-title":"Fully neural network based speech recognition on mobile and embedded devices","author":"park","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref17","first-page":"2342","article-title":"An empirical exploration of recurrent network architectures","author":"jozefowicz","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472084"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/34.655649"},{"journal-title":"SpecAugment A simple data augmentation method for automatic speech recognition","year":"2019","author":"park","key":"ref4"},{"journal-title":"Understanding LSTM Networks","year":"2015","author":"olah","key":"ref27"},{"key":"ref3","first-page":"173","article-title":"Deep speech 2: End-to-end speech recognition in English and Mandarin","author":"amodei","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682336"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707705"},{"journal-title":"Cumulative adaptation for BLSTM acoustic models","year":"2019","author":"kitza","key":"ref5"},{"key":"ref8","article-title":"Untersuchungen zu dynamischen neu-ronalen Netzen","volume":"91","author":"hochreiter","year":"1991","journal-title":"Diplomarbeit Technischen Universit&#x00E4;t M&#x00FC;nchen"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461870"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1990.2.4.490"},{"journal-title":"The CAPIO 2017 Conversational Speech Recognition System","year":"2017","author":"han","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2762739"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1403"},{"journal-title":"Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition","year":"2014","author":"sak","key":"ref21"},{"key":"ref24","first-page":"3","article-title":"Rec-tifier nonlinearities improve neural network acoustic models","volume":"30","author":"maas","year":"2013","journal-title":"Proc ICML"},{"journal-title":"Learning to forget Continual prediction with lstm","year":"1999","author":"gers","key":"ref23"},{"key":"ref26","article-title":"Small nonlinearities in activation functions create bad local minima in neural networks","author":"yun","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref25","first-page":"115","article-title":"Learning precise timing with lstm recurrent networks","volume":"3","author":"gers","year":"2002","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","start":{"date-parts":[[2019,12,14]]},"location":"SG, Singapore","end":{"date-parts":[[2019,12,18]]}},"container-title":["2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8985378\/9003727\/09003898.pdf?arnumber=9003898","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T14:44:17Z","timestamp":1658155457000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9003898\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/asru46091.2019.9003898","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}