{"id":"https://openalex.org/W2774041889","doi":"https://doi.org/10.1109/mmsp.2017.8122277","title":"Analysis of temporal aggregation and dimensionality reduction on feature sets for speaker identification in wireless acoustic sensor networks","display_name":"Analysis of temporal aggregation and dimensionality reduction on feature sets for speaker identification in wireless acoustic sensor networks","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774041889","doi":"https://doi.org/10.1109/mmsp.2017.8122277","mag":"2774041889"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2017.8122277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024357851","display_name":"Alexandru Nelus","orcid":"https://orcid.org/0000-0002-4926-6796"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexandru Nelus","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum"],"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050749302","display_name":"Sebastian Gergen","orcid":null},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Gergen","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum"],"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064880163","display_name":"Rainer Martin","orcid":"https://orcid.org/0000-0002-9587-4215"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Martin","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum"],"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum","institution_ids":["https://openalex.org/I904495901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024357851"],"corresponding_institution_ids":["https://openalex.org/I904495901"],"apc_list":null,"apc_paid":null,"fwci":0.1849,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48637273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.837377667427063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7611950635910034},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6856393814086914},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6023855209350586},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.5975684523582458},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5573538541793823},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5485563278198242},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5100606083869934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5072707533836365},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4965258240699768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4553215801715851},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.430636465549469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09614360332489014}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.837377667427063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611950635910034},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6856393814086914},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6023855209350586},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.5975684523582458},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5573538541793823},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5485563278198242},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5100606083869934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5072707533836365},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4965258240699768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4553215801715851},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.430636465549469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09614360332489014},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2017.8122277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W131293899","https://openalex.org/W204053250","https://openalex.org/W1969209815","https://openalex.org/W1997810056","https://openalex.org/W2009086942","https://openalex.org/W2024490156","https://openalex.org/W2066435779","https://openalex.org/W2071608040","https://openalex.org/W2079623482","https://openalex.org/W2101261946","https://openalex.org/W2150769028","https://openalex.org/W2157017541","https://openalex.org/W2157599901","https://openalex.org/W2395750323","https://openalex.org/W2621213041","https://openalex.org/W2687790454","https://openalex.org/W6605236737","https://openalex.org/W6608353291","https://openalex.org/W6738879530"],"related_works":["https://openalex.org/W2114217318","https://openalex.org/W2794812819","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W3036945320","https://openalex.org/W2370263288","https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W2169311637"],"abstract_inverted_index":{"In":[0,76],"this":[1,52],"paper":[2],"we":[3,54,79],"analyze":[4],"the":[5,16,29,72,77,90,114],"impact":[6],"of":[7,18,31,45],"temporal":[8,66,101],"feature":[9,12,73,91],"aggregation":[10,67,102],"and":[11,39,58,64,68,118],"dimensionality":[13,69,128],"reduction":[14,70],"on":[15,107],"performance":[17,111],"speaker":[19,62,109],"identification":[20,110],"tasks.":[21],"We":[22],"investigate":[23,65],"these":[24],"two":[25],"processing":[26],"steps":[27],"in":[28,71],"context":[30],"communication":[32],"layer":[33],"constraints,":[34],"such":[35],"as":[36,83,85],"limited":[37],"bitrate,":[38],"privacy":[40,116],"constraints":[41,117],"at":[42],"node":[43],"level,":[44],"a":[46,104],"wireless":[47],"acoustic":[48],"sensor":[49],"network.":[50],"To":[51],"end,":[53],"extract":[55],"Modulation-MFCC":[56],"features":[57],"state-of-the-art":[59],"i-vectors":[60],"for":[61,93,127],"identification,":[63],"extraction":[74],"process.":[75],"evaluation,":[78],"use":[80],"clean":[81],"data":[82,87],"well":[84],"reverberant":[86],"to":[88],"assess":[89],"sets":[92],"different":[94],"application":[95],"scenarios.":[96],"It":[97],"is":[98],"found":[99],"that":[100,119],"has":[103],"positive":[105],"effect":[106],"increasing":[108],"while":[112],"respecting":[113],"aforementioned":[115],"Linear":[120],"Discriminant":[121],"Analysis":[122],"can":[123],"be":[124],"successfully":[125],"employed":[126],"reduction.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}