{"id":"https://openalex.org/W2138327707","doi":"https://doi.org/10.1109/icme.2002.1035575","title":"Visualization of multiple listener room response equalization using Sammon map","display_name":"Visualization of multiple listener room response equalization using Sammon map","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2138327707","doi":"https://doi.org/10.1109/icme.2002.1035575","mag":"2138327707"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2002.1035575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044531418","display_name":"Sunil Bharitkar","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Bharitkar","raw_affiliation_strings":["NSF-Integrated Media Systems Center, Immersive Audio Laboratory, University of Southern California, Los Angeles, CA, USA","Immersive Audio Lab., Univ. of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NSF-Integrated Media Systems Center, Immersive Audio Laboratory, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Immersive Audio Lab., Univ. of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113526165","display_name":"Chris Kyriakakis","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Kyriakakis","raw_affiliation_strings":["NSF-Integrated Media Systems Center, Immersive Audio Laboratory, University of Southern California, Los Angeles, CA, USA","Immersive Audio Lab., Univ. of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NSF-Integrated Media Systems Center, Immersive Audio Laboratory, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Immersive Audio Lab., Univ. of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.26406859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"277","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"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":0.9969000220298767,"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/T11309","display_name":"Music and Audio Processing","score":0.9919000267982483,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.8466557264328003},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.7764235138893127},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7485523223876953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6918294429779053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5311922430992126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5081725120544434},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.45532846450805664},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43685829639434814},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32163187861442566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22888922691345215},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1597810983657837}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8466557264328003},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.7764235138893127},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7485523223876953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6918294429779053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5311922430992126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5081725120544434},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.45532846450805664},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43685829639434814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32163187861442566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22888922691345215},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1597810983657837}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2002.1035575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1508853606","https://openalex.org/W1679913846","https://openalex.org/W1909734966","https://openalex.org/W2113076747","https://openalex.org/W2134312057","https://openalex.org/W2151141216","https://openalex.org/W2152796223","https://openalex.org/W2171049046","https://openalex.org/W4237222446"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2381926679","https://openalex.org/W2611300636","https://openalex.org/W2082644203","https://openalex.org/W3165040664","https://openalex.org/W2007009951","https://openalex.org/W2350539780","https://openalex.org/W2002351209","https://openalex.org/W3122652148","https://openalex.org/W1583866266"],"abstract_inverted_index":{"We":[0,98],"propose":[1],"a":[2,81],"novel":[3],"method":[4,19,43],"of":[5,17,36,76],"visualizing":[6],"room":[7,45],"equalization":[8,37,47,96],"at":[9,48],"multiple":[10,49],"locations":[11],"using":[12,105,114],"Sammon":[13,107],"mapping.":[14],"The":[15],"benefits":[16],"this":[18],"are:":[20],"(i)":[21,60],"simplicity":[22],"in":[23,44,80],"implementation;":[24],"(ii)":[25,66],"negligible":[26],"computational":[27],"requirements":[28],"to":[29,93,109],"implement":[30],"the":[31,53,62,68,74,78,86,95,101,106,110,115],"map;":[32],"(iii)":[33,73],"realistic":[34],"evaluation":[35],"performance":[38],"for":[39],"our":[40],"cluster":[41],"based":[42],"response":[46],"listener":[50],"locations.":[51],"Furthermore,":[52],"mapping":[54],"provides":[55],"an":[56],"interesting":[57],"perspective":[58],"on":[59],"how":[61,67],"clusters":[63],"are":[64,70],"formed,":[65],"centroids":[69,79],"determined,":[71],"and":[72],"result":[75],"combining":[77],"specific":[82],"manner":[83],"(to":[84],"form":[85,94],"final":[87],"prototype":[88],"which":[89],"is":[90],"then":[91],"inverted":[92],"filter).":[97],"also":[99],"compare":[100],"results":[102,111],"obtained":[103,112],"from":[104],"map":[108],"by":[113],"spectral":[116],"deviation":[117],"measure.":[118]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
