{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T15:23:53Z","timestamp":1761578633642,"version":"3.37.3"},"reference-count":0,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T00:00:00Z","timestamp":1537228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61631016"],"award-info":[{"award-number":["61631016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Multimedia"],"published-print":{"date-parts":[[2018,9,18]]},"abstract":"<jats:p>There are serious distortion problems in the history audio and video data. In view of the characteristics of audio data repair, the intelligent technology of audio evaluation is explored. As the traditional audio subjective evaluation method requires a large number of personal to audition and evaluation, the tester\u2019s subjective sense of hearing deviation and sample space data limited the impact of the accuracy of the experiment. Based on the deep learning network, this paper designs an objective quality evaluation system for historical audio and video data and evaluates the performance of the system and the audio signal quality from the perspective of feature extraction and network parameter selection. Experiments show that the system has good performance in this experiment; the predictive results and subjective evaluation of the correlation and dispersion indicators are good, up to 0.91 and 0.19.<\/jats:p>","DOI":"10.1155\/2018\/3748141","type":"journal-article","created":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T19:30:47Z","timestamp":1537299047000},"page":"1-13","source":"Crossref","is-referenced-by-count":5,"title":["Research on Objective Evaluation of Recording Audio Restoration Based on Deep Learning Network"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0464-9862","authenticated-orcid":true,"given":"Cong","family":"Jin","sequence":"first","affiliation":[{"name":"Key Laboratory of Media Audio & Video, Communication University of China, Beijing, China"}]},{"given":"Wei","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Science and Technology, Communication University of China, Beijing, China"}]},{"given":"Hongliang","family":"Wang","sequence":"additional","affiliation":[{"name":"Advertising School, Communication University of China, Beijing, China"}]}],"member":"311","container-title":["Advances in Multimedia"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2018\/3748141.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2018\/3748141.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2018\/3748141.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T19:30:47Z","timestamp":1537299047000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/am\/2018\/3748141\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,18]]},"references-count":0,"alternative-id":["3748141","3748141"],"URL":"https:\/\/doi.org\/10.1155\/2018\/3748141","relation":{},"ISSN":["1687-5680","1687-5699"],"issn-type":[{"type":"print","value":"1687-5680"},{"type":"electronic","value":"1687-5699"}],"subject":[],"published":{"date-parts":[[2018,9,18]]}}}