{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T13:05:20Z","timestamp":1762088720535,"version":"build-2065373602"},"reference-count":22,"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\/icassp49357.2023.10097261","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":2,"title":["On the Robustness of Non-Intrusive Speech Quality Model by Adversarial Examples"],"prefix":"10.1109","author":[{"given":"Hsin-Yi","family":"Lin","sequence":"first","affiliation":[{"name":"Academia Sinica,Research Center for Information Technology Innovation,Taipei,Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huan-Hsin","family":"Tseng","sequence":"additional","affiliation":[{"name":"Academia Sinica,Research Center for Information Technology Innovation,Taipei,Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Tsao","sequence":"additional","affiliation":[{"name":"Academia Sinica,Research Center for Information Technology Innovation,Taipei,Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"5334","article-title":"Robust audio adversarial example for a physical attack","author":"yakura","year":"2018","journal-title":"IJCAI-19"},{"key":"ref12","article-title":"Imperceptible, robust, and targeted adversarial examples for automatic speech recognition","author":"qin","year":"2019","journal-title":"Proc ICMLC"},{"key":"ref15","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"ICLRE"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICSDA.2013.6709856"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-159"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2018.00009"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1121\/1.4799597"},{"key":"ref10","article-title":"Nonintrusive speech quality assessment using neural networks","author":"avila","year":"2019","journal-title":"Proc ICASSP"},{"journal-title":"ITU-T","article-title":"P. 808, subjective evaluation of speech quality with a crowdsourcing approach","year":"2018","key":"ref2"},{"key":"ref1","article-title":"P. 800: Methods for subjective determination of transmission quality","author":"rec","year":"1996","journal-title":"International Telecommunication Union Geneva"},{"key":"ref17","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"ICLRE"},{"key":"ref16","article-title":"Adversarial machine learning at scale","author":"kurakin","year":"2017","journal-title":"ICLRE"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-3038"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747230"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-299"},{"key":"ref7","first-page":"1","article-title":"Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features","author":"zezario","year":"2022","journal-title":"IEEE\/ACM Transactions on Audio Speech and Language Processing"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746108"},{"journal-title":"Rec ITU-TP 862","article-title":"Perceptual evaluation of speech quality (pesq): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs","year":"2001","key":"ref4"},{"journal-title":"ITU-T Recommendation","article-title":"835: Subjective test methodology for evaluating speech communication systems that include noise suppression algorithms","year":"2003","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495701"}],"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\/10097261.pdf?arnumber=10097261","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:06:51Z","timestamp":1700507211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10097261\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10097261","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}