{"id":"https://openalex.org/W2405731348","doi":"https://doi.org/10.21437/interspeech.2015-170","title":"Advanced time shrinking using a drop classifier based on codec features","display_name":"Advanced time shrinking using a drop classifier based on codec features","publication_year":2015,"publication_date":"2015-09-06","ids":{"openalex":"https://openalex.org/W2405731348","doi":"https://doi.org/10.21437/interspeech.2015-170","mag":"2405731348"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2015-170","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publica.fraunhofer.de/documents/N-418307.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018362584","display_name":"Jochen Issing","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jochen Issing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109215501","display_name":"N. Farber","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikolaus F\u00e4rber","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006605534","display_name":"German Reinhard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reinhard German","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018362584"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2155549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"433","last_page":"437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.8493000268936157,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.8493000268936157,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.8098000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.753000020980835,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6640664339065552},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6222712993621826},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4814800024032593},{"id":"https://openalex.org/keywords/drop","display_name":"Drop (telecommunication)","score":0.4544433355331421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.415712833404541},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32032549381256104},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1867649257183075},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11374446749687195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6640664339065552},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6222712993621826},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4814800024032593},{"id":"https://openalex.org/C2781345722","wikidata":"https://www.wikidata.org/wiki/Q5308388","display_name":"Drop (telecommunication)","level":2,"score":0.4544433355331421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.415712833404541},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32032549381256104},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1867649257183075},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11374446749687195}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2015-170","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-418307","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-418307.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IIS","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/393889","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/393889","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:fraunhofer.de:N-418307","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-418307.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IIS","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2107680156","https://openalex.org/W2964213236","https://openalex.org/W2163719598","https://openalex.org/W3161919736","https://openalex.org/W2387018512","https://openalex.org/W4301184752","https://openalex.org/W2751422192","https://openalex.org/W1509797384","https://openalex.org/W1201576901","https://openalex.org/W2479386627"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2],"integrated":[3],"approach":[4],"of":[5,43,88,94,115],"full-band":[6],"audio":[7,32,56,67,76,84,89,92],"time":[8,35],"scale":[9],"modification":[10],"for":[11,34],"Voice":[12],"over":[13],"IP":[14],"communication.":[15],"The":[16,40,86],"concept":[17],"is":[18,46],"based":[19],"on":[20,66],"a":[21,49,113],"low":[22,71],"complexity":[23,111],"adaptive":[24],"playout":[25],"method":[26,45,97],"that":[27,51,79],"uses":[28],"frame":[29],"dropping":[30],"and":[31,37],"concealment":[33],"shrinking":[36],"stretching,":[38],"respectively.":[39],"existing":[41,96],"version":[42],"this":[44],"improved":[47],"using":[48],"classifier":[50],"assists":[52],"in":[53,82],"choosing":[54],"which":[55],"frames":[57,90],"can":[58],"be":[59],"dropped":[60],"with":[61],"the":[62,83,95],"least":[63],"subjective":[64],"impact":[65],"quality.":[68],"To":[69],"maintain":[70],"complexity,":[72],"we":[73],"exclusively":[74],"use":[75],"signal":[77],"features":[78],"are":[80],"available":[81],"codec.":[85],"classification":[87,99],"improves":[91],"quality":[93],"without":[98],"by":[100,112],"0:5":[101],"Mean":[102],"Opinion":[103],"Score":[104],"points":[105],"while":[106],"requiring":[107],"significantly":[108],"less":[109],"computational":[110],"factor":[114],"ca":[116],"104.":[117]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
