{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T01:24:49Z","timestamp":1781659489999,"version":"3.54.5"},"reference-count":33,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/asru.2017.8268939","type":"proceedings-article","created":{"date-parts":[[2018,1,25]],"date-time":"2018-01-25T16:43:53Z","timestamp":1516898633000},"page":"222-227","source":"Crossref","is-referenced-by-count":3,"title":["Incremental training and constructing the very deep convolutional residual network acoustic models"],"prefix":"10.1109","author":[{"given":"Sheng","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xugang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Sken","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryoichi","family":"Takashima","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tatsuya","family":"Kawahara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hisashi","family":"Kawai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2015.7404790"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472805"},{"key":"ref31","first-page":"543","article-title":"A method for unconstrained convex minimization problem with the rate of convergence O(l\/k2)","volume":"269","author":"nesterov","year":"1983","journal-title":"Doklady AN SSSR (Translated As Soviet Math Docl )"},{"key":"ref30","article-title":"An introduction to computational networks and the computational network toolkit","author":"agarwal","year":"2014","journal-title":"Microsoft Technical Report"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953070"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-225"},{"key":"ref12","author":"szegedy","year":"2015","journal-title":"Rethinking the inception architecture for computer vision"},{"key":"ref13","author":"chollet","year":"2016","journal-title":"Xception Deep learning with depthwise separable convolutions"},{"key":"ref14","article-title":"Deep networks with stochastic depth","author":"huang","year":"2016","journal-title":"Proc European Conference on Computer Vision (ECCV)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2016.7820692"},{"key":"ref16","first-page":"2074","article-title":"Learning structured sparsity in deep neural networks","author":"wen","year":"2016","journal-title":"Proc Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref17","first-page":"550","article-title":"Residual networks behave like ensembles of relatively shallow networks","author":"veit","year":"2016","journal-title":"Proc Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref18","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Tech Report"},{"key":"ref19","author":"zagoruyko","year":"2016","journal-title":"Wide residual networks"},{"key":"ref28","article-title":"Large scale distributed deep networks","author":"dean","year":"2012","journal-title":"Proc Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref4","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"Proc European Conference on Computer Vision (ECCV)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-71"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","article-title":"Very deep convolutional neural networks for LVCSR","author":"bi","year":"2015","journal-title":"Proc INTERSPEECH"},{"key":"ref29","article-title":"The Kaldi speech recognition toolkit","author":"povey","year":"2011","journal-title":"Proceedings of IEEE ASRU"},{"key":"ref5","author":"wang","year":"2016","journal-title":"Residual convolutional CTC networks for automatic speech recognition"},{"key":"ref8","article-title":"Advances in joint CTC-Attention based End-to-End speech recognition with a deep CNN Encoder and RNN-LM","author":"hori","year":"2017","journal-title":"Proc Inter-speech"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2602884"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953077"},{"key":"ref1","article-title":"lmageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref20","author":"russakovsky","year":"2014","journal-title":"Imagenet Large Scale Visual Recognition Challenge"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2011.6163899"},{"key":"ref21","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"loffe","year":"2015","journal-title":"Proc ICML"},{"key":"ref24","article-title":"Corpus of spontaneous japanese: Its design and evaluation","author":"maekawa","year":"2003","journal-title":"Proc ISCA & IEEE Workshop on Spontaneous Speech Processing and Recognition"},{"key":"ref23","article-title":"Greedy layer-wise training of deep networks","author":"bengio","year":"2017","journal-title":"Proc Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref26","article-title":"Kaldi recipe for Japanese spontaneous speech recognition and its evaluation","author":"moriya","year":"2015","journal-title":"Autumn Meeting of ASJ"},{"key":"ref25","article-title":"Bench-mark test for speech recognition using the corpus of spontaneous japanese","author":"kawahara","year":"2003","journal-title":"Proc ISCA & IEEE Workshop on Spontaneous Speech Processing and Recognition"}],"event":{"name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","location":"Okinawa, Japan","start":{"date-parts":[[2017,12,16]]},"end":{"date-parts":[[2017,12,20]]}},"container-title":["2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8260578\/8268903\/08268939.pdf?arnumber=8268939","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,28]],"date-time":"2018-02-28T15:47:17Z","timestamp":1519832837000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8268939\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/asru.2017.8268939","relation":{},"subject":[],"published":{"date-parts":[[2017,12]]}}}