{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T14:46:28Z","timestamp":1778683588952,"version":"3.51.4"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1109\/taslp.2015.2392944","type":"journal-article","created":{"date-parts":[[2015,1,15]],"date-time":"2015-01-15T19:54:37Z","timestamp":1421351677000},"page":"631-642","source":"Crossref","is-referenced-by-count":25,"title":["State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition"],"prefix":"10.1109","volume":"23","author":[{"given":"Pan","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li-Rong","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing-Feng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854680"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638948"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2010-22","article-title":"Parallel training of neural networks for speech recognition","author":"vesel\ufffd","year":"2010","journal-title":"Proc INTERSPEECH"},{"key":"ref32","article-title":"Parallel training of neural networks for speech recognition","author":"kont\ufffdr","year":"2006","journal-title":"Proc Int Conf Soft Computing"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854927"},{"key":"ref30","article-title":"Restructuring of deep neural network acoustic models with singular value decomposition","author":"xue","year":"2013","journal-title":"Proc INTERSPEECH"},{"key":"ref37","article-title":"Building high-level features using large scale unsupervised learning","author":"le","year":"2012","journal-title":"Proc ICML"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2012-7","article-title":"Pipelined back-propagation for context-dependent deep neural networks","author":"chen","year":"2012","journal-title":"Proc INTERSPEECH"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638950"},{"key":"ref34","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2009-84","article-title":"Efficient generation and use of MLP features for Arabic speech recognition","author":"park","year":"2009","journal-title":"Proc INTERSPEECH"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2134090"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"437","DOI":"10.21437\/Interspeech.2011-169","article-title":"Conversational speech transcription using context-dependent deep neural networks","author":"seide","year":"2011","journal-title":"Proc INTERSPEECH"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947401"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288863"},{"key":"ref14","article-title":"Roles of pre-training and fine-tuning in context-dependent DBN-HMMs for real-world speech recognition","author":"yu","year":"2010","journal-title":"Proc NIPS Workshop on Deep Learning and Unsupervised Feature Learning"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2011.6163899"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288864"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISCSLP.2012.6423452"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639347"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2339736"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288897"},{"key":"ref4","first-page":"4729","article-title":"Probabilistic and bottleneck features for LVCSR of meetings","author":"gr\ufffdzl","year":"2007","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2012-10","article-title":"Application of pretrained deep neural networks to large vocabulary speech recognition","author":"jaitly","year":"2012","journal-title":"Proc INTERSPEECH"},{"key":"ref3","first-page":"1635","article-title":"Tandem connectionist feature extraction for conventional HMM systems","author":"hermansky","year":"2000","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref6","article-title":"Deep belief networks for phone recognition","author":"mohamed","year":"2009","journal-title":"Proc NIPS Workshop Deep Learn Speech Recogn Rel Applicat"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638949"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.939038"},{"key":"ref2","author":"bourlard","year":"1993","journal-title":"Connectionist Speech Recognition A Hybrid Approach"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2009.08.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2109382"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1109\/TASLP.2014.2346313","article-title":"Fast adaptation of deep neural network based on discriminant codes for speech recognition","volume":"22","author":"xue","year":"2014","journal-title":"IEEE\/ACM Trans Audio Speech Lang Process"},{"key":"ref22","volume":"79","author":"povey","year":"2004","journal-title":"Discriminative training for large vocabulary speech recognition"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6393(97)00029-0"},{"key":"ref24","article-title":"Solving large margin HMM estimation via semidefinite programming","author":"li","year":"2006","journal-title":"Proc Int Conf Spoken Lang Process (ICSLP)"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1006\/csla.1994.1010"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2006-603","article-title":"Hypothesis spaces for minimum Bayes risk training in large vocabulary speech recognition","author":"gibson","year":"2006","journal-title":"Proc INTERSPEECH"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1992.226048"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638951"},{"key":"ref44","article-title":"1-bit stochastic gradient descent and application to data-parallel distributed training of speech DNNs","author":"seide","year":"2014","journal-title":"Proc INTERSPEECH"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2012-3","article-title":"Scalable minimum Bayes risk training of deep neural network acoustic models using distributed Hessian-free optimization","author":"kingsbury","year":"2012","journal-title":"Proc INTERSPEECH"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2012.2215599"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/7055953\/07010902.pdf?arnumber=7010902","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T22:09:43Z","timestamp":1651010983000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7010902\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4]]},"references-count":44,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/taslp.2015.2392944","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,4]]}}}