{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:24:12Z","timestamp":1775229852633,"version":"3.50.1"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,16]],"date-time":"2023-12-16T00:00:00Z","timestamp":1702684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,16]],"date-time":"2023-12-16T00:00:00Z","timestamp":1702684800000},"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":[[2023,12,16]]},"DOI":"10.1109\/asru57964.2023.10389637","type":"proceedings-article","created":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:38:40Z","timestamp":1705689520000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Contextual Spelling Correction with Large Language Models"],"prefix":"10.1109","author":[{"given":"Gan","family":"Song","sequence":"first","affiliation":[{"name":"Google, Inc."}]},{"given":"Zelin","family":"Wu","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Golan","family":"Pundak","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Angad","family":"Chandorkar","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Kandarp","family":"Joshi","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Xavier","family":"Velez","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Diamantino","family":"Caseiro","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Ben","family":"Haynor","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Weiran","family":"Wang","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Nikhil","family":"Siddhartha","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Pat","family":"Rondon","sequence":"additional","affiliation":[{"name":"Google, Inc."}]},{"given":"Khe Chai","family":"Sim","sequence":"additional","affiliation":[{"name":"Google, Inc."}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462682"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683745"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053051"},{"key":"ref4","article-title":"Mondegreen: A post-processing solution to speech recognition error correction for voice search queries","author":"Apte","year":"2021"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2023-768"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2962"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"ref8","article-title":"Scaling instruction-finetuned language models","author":"Chung","year":"2022","journal-title":"arXiv preprint arXiv:2210.11416"},{"issue":"3","key":"ref9","first-page":"321","article-title":"Semiring frameworks and algorithms for shortest-distance problems","volume":"7","author":"Mohri","year":"2002","journal-title":"Journal of Automata, Languages and Combinatorics"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2016.7846301"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178957"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-2416"},{"key":"ref13","article-title":"Sequence transduction with recurrent neural networks","volume-title":"Proc. ICML","author":"Graves"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472621"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1209"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2018.8639034"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682738"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747726"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SLT54892.2023.10023323"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2023-1124"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2020-1787"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413756"},{"key":"ref23","article-title":"Accelerating large-scale inference with anisotropic vector quantization","volume-title":"International Conference on Machine Learning","author":"Guo"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683745"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1290"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054257"},{"key":"ref27","article-title":"Neural machine translation by jointly learning to align and translate","author":"Bahdanau","year":"2014","journal-title":"arXiv preprint arXiv:1409.0473"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-379"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3205753"},{"key":"ref30","article-title":"Google usm: Scaling automatic speech recognition beyond 100 languages","author":"Zhang","year":"2023"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2018.8639610"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-11034"},{"key":"ref34","article-title":"Palm: Scaling language modeling with pathways","author":"Chowdhery","year":"2022","journal-title":"arXiv preprint arXiv:2204.02311"},{"key":"ref35","article-title":"Training compute-optimal large language models","author":"Hoffmann","year":"2022","journal-title":"arXiv preprint arXiv:2203.15556"},{"key":"ref36","article-title":"Palm 2 technical report","author":"Anil","year":"2023"},{"key":"ref37","article-title":"On using monolingual corpora in neural machine translation","author":"Gulcehre","year":"2015","journal-title":"arXiv:1503.03535"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-343"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178778"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-10660"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1017\/9780511807954"},{"key":"ref43","article-title":"Ignore previous prompt: Attack techniques for language models","author":"Perez","year":"2022"},{"key":"ref44","article-title":"Evaluating the susceptibility of Pre-Trained language models via handcrafted adversarial examples","author":"Branch","year":"2022"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1221"},{"key":"ref46","article-title":"Exploiting programmatic behavior of LLMs: Dual-Use through standard security attacks","author":"Kang","year":"2023"}],"event":{"name":"2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","location":"Taipei, Taiwan","start":{"date-parts":[[2023,12,16]]},"end":{"date-parts":[[2023,12,20]]}},"container-title":["2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10388490\/10389614\/10389637.pdf?arnumber=10389637","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T16:35:35Z","timestamp":1706027735000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10389637\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,16]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/asru57964.2023.10389637","relation":{},"subject":[],"published":{"date-parts":[[2023,12,16]]}}}