{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T14:59:06Z","timestamp":1758812346838,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9747525","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"6102-6106","source":"Crossref","is-referenced-by-count":1,"title":["Enhance Rnnlms with Hierarchical Multi-Task Learning for ASR"],"prefix":"10.1109","author":[{"given":"Minguang","family":"Song","sequence":"first","affiliation":[{"name":"University of Missouri,Department of EECS,Columbia,MO,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunxin","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Missouri,Department of EECS,Columbia,MO,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref12","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"collobert","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2038"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016949"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1206"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/1075527.1075614"},{"key":"ref17","article-title":"The AMI meeting corpus: A pre-announcement","author":"carletta","year":"2005","journal-title":"International Workshop on MLMI"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2018.8639649"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.21236\/ADA273556"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SLT48900.2021.9383598"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053589"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2013-569"},{"key":"ref6","first-page":"4033","article-title":"How LSTM encodes syntax: Exploring context vectors and semiquantization on natural text","author":"shibata","year":"2020","journal-title":"COLING"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-595"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2400218"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2012.6424228"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3115\/1614049.1614050"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-2208"},{"key":"ref9","first-page":"2835","article-title":"Factored language model based on recurrent neural network","author":"wu","year":"2012","journal-title":"COLING"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2010-343"},{"key":"ref20","article-title":"The Kaldi speech recognition toolkit","author":"povey","year":"2011","journal-title":"ASRU"},{"key":"ref22","first-page":"1638","article-title":"Contextual string embeddings for sequence labeling","author":"akbik","year":"2018","journal-title":"COLING"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-5010"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2013-548"},{"key":"ref23","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NIPS"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.21437\/Eurospeech.1999-481","article-title":"Towards improved language model evaluation measures","author":"clarkson","year":"1999","journal-title":"Eurospeech"},{"key":"ref25","article-title":"Evaluation metrics for language models","author":"chen","year":"1998","journal-title":"DARPA Broadcast News Transcription and Understanding Workshop"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2022,5,23]]},"location":"Singapore, Singapore","end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09747525.pdf?arnumber=9747525","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,23]],"date-time":"2024-09-23T03:20:37Z","timestamp":1727061637000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747525\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747525","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}