{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:12:05Z","timestamp":1755839525273},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"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":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10094820","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":9,"title":["Improving CTC-Based ASR Models With Gated Interlayer Collaboration"],"prefix":"10.1109","author":[{"given":"Yuting","family":"Yang","sequence":"first","affiliation":[{"name":"NetEase Yidun AI Lab,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuke","family":"Li","sequence":"additional","affiliation":[{"name":"NetEase Yidun AI Lab,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binbin","family":"Du","sequence":"additional","affiliation":[{"name":"NetEase Yidun AI Lab,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSDA.2017.8384449"},{"key":"ref2","article-title":"Enhancing the ted-lium corpus with selected data for language modeling and more ted talks","author":"Rousseau","year":"2014","journal-title":"LREC"},{"key":"ref3","article-title":"aidatatang_200zh, a free chinese mandarin speech corpus"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/icassp.2016.7472621"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472618"},{"key":"ref6","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"NIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462506"},{"journal-title":"Sequence transduction with recurrent neural net-works","year":"2012","author":"Graves","key":"ref8"},{"key":"ref9","article-title":"Exploring neural transducers for end-to-end speech recognition","author":"Battenbergand","year":"2017","journal-title":"ASRU"},{"key":"ref10","article-title":"Transformer transducer: A streamable speech recognition model with transformer en-coders and rnn-t loss","author":"Zhang","year":"2020","journal-title":"ICASSP"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"journal-title":"Deep speech: Scaling up end-to-end speech recognition","year":"2014","author":"Hannun","key":"ref12"},{"key":"ref13","article-title":"Towards end-to-end speech recognition with recurrent neural networks","author":"Graves","year":"2014","journal-title":"ICML"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2015.7404790"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053889"},{"journal-title":"Citrinet: Closing the gap between non-autoregressive and autoregressive end-to-end models for automatic speech recognition","year":"2021","author":"Majumdar","key":"ref16"},{"key":"ref17","article-title":"Hierarchical multi task learning with ctc","author":"Sanabria","year":"2018","journal-title":"SLT"},{"journal-title":"Hierarchical multi-task learning for ctc-based speech recognition","year":"2018","author":"Krishna","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953071"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2017.8268935"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414594"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-911"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746580"},{"journal-title":"Multi-sequence intermediate conditioning for ctc-based asr","year":"2022","author":"Fujita","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-3015"},{"journal-title":"Layer normalization","year":"2016","author":"Ba","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2015-711"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2680"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414858"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/icassp43922.2022.9746579"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU51503.2021.9688157"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414198"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1456"},{"journal-title":"Adam: A method for stochastic optimization","year":"2014","author":"Kingma","key":"ref34"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10094820.pdf?arnumber=10094820","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T22:34:00Z","timestamp":1709246040000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10094820\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10094820","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}