date: 2019-12-19T10:49:08Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech xmp:CreatorTool: Elsevier AuthoritativeDomain[2]: elsevier.com access_permission:can_print_degraded: true subject: Speech Communication, 113 (2019) 63-80. doi:10.1016/j.specom.2019.08.005 dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:encrypted: false dc:title: Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech modified: 2019-12-19T10:49:08Z cp:subject: Speech Communication, 113 (2019) 63-80. doi:10.1016/j.specom.2019.08.005 pdf:docinfo:custom:CrossMarkDomains[1]: sciencedirect.com robots: noindex pdf:docinfo:subject: Speech Communication, 113 (2019) 63-80. doi:10.1016/j.specom.2019.08.005 pdf:docinfo:creator: Okko Räsänen meta:author: Shreyas Seshadri meta:creation-date: 2019-08-22T18:31:24Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2019-08-22T18:31:24Z access_permission:extract_for_accessibility: true Creation-Date: 2019-08-22T18:31:24Z pdf:docinfo:custom:CrossMarkDomains[2]: elsevier.com ElsevierWebPDFSpecifications: 6.5 pdf:docinfo:custom:doi: 10.1016/j.specom.2019.08.005 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Shreyas Seshadri producer: Acrobat Distiller 10.1.16 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 10.1.16 (Windows) doi: 10.1016/j.specom.2019.08.005 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Speech Communication, 113 (2019) 63-80. doi:10.1016/j.specom.2019.08.005 Keywords: Language acquisition,Word count estimation,Automatic syllabification,Daylong recordings,Noise robustness access_permission:modify_annotations: true pdf:docinfo:custom:AuthoritativeDomain[2]: elsevier.com dc:creator: Shreyas Seshadri description: Speech Communication, 113 (2019) 63-80. doi:10.1016/j.specom.2019.08.005 dcterms:created: 2019-08-22T18:31:24Z Last-Modified: 2019-12-19T10:49:08Z dcterms:modified: 2019-12-19T10:49:08Z title: Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech xmpMM:DocumentID: uuid:fd8cfc10-4791-4a8b-8025-00abb91efa0c Last-Save-Date: 2019-12-19T10:49:08Z CrossMarkDomains[1]: sciencedirect.com pdf:docinfo:keywords: Language acquisition,Word count estimation,Automatic syllabification,Daylong recordings,Noise robustness pdf:docinfo:modified: 2019-12-19T10:49:08Z meta:save-date: 2019-12-19T10:49:08Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Shreyas Seshadri dc:subject: Language acquisition,Word count estimation,Automatic syllabification,Daylong recordings,Noise robustness AuthoritativeDomain[1]: sciencedirect.com pdf:docinfo:custom:AuthoritativeDomain[1]: sciencedirect.com pdf:docinfo:custom:ElsevierWebPDFSpecifications: 6.5 access_permission:assemble_document: true xmpTPg:NPages: 18 pdf:charsPerPage: 4727 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: elsevier.com meta:keyword: Language acquisition,Word count estimation,Automatic syllabification,Daylong recordings,Noise robustness access_permission:can_modify: true pdf:docinfo:created: 2019-08-22T18:31:24Z CrossmarkMajorVersionDate: 2010-04-23