{"id":"https://openalex.org/W2890866300","doi":"https://doi.org/10.1109/icassp.2018.8461610","title":"Grassmann Singular Spectrum Analysis for Bioacoustics Classification","display_name":"Grassmann Singular Spectrum Analysis for Bioacoustics Classification","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2890866300","doi":"https://doi.org/10.1109/icassp.2018.8461610","mag":"2890866300"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5073772009","display_name":"Lincon S. Souza","orcid":"https://orcid.org/0000-0001-9195-1423"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lincon S. Souza","raw_affiliation_strings":["University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064373853","display_name":"Bernardo B. Gatto","orcid":"https://orcid.org/0000-0001-9639-8188"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bernardo B. Gatto","raw_affiliation_strings":["Federal University of Amazonas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas, Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101567870","display_name":"Kazuhiro Fukui","orcid":"https://orcid.org/0000-0002-4201-1096"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Fukui","raw_affiliation_strings":["University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"256","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bioacoustics","display_name":"Bioacoustics","score":0.8625583648681641},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6003393530845642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5920952558517456},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5887411236763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564277172088623},{"id":"https://openalex.org/keywords/singular-spectrum-analysis","display_name":"Singular spectrum analysis","score":0.5196434259414673},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5140848755836487},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4454857110977173},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35767048597335815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3088584244251251},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.2030036449432373}],"concepts":[{"id":"https://openalex.org/C34951282","wikidata":"https://www.wikidata.org/wiki/Q864191","display_name":"Bioacoustics","level":2,"score":0.8625583648681641},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6003393530845642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5920952558517456},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5887411236763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564277172088623},{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.5196434259414673},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5140848755836487},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4454857110977173},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35767048597335815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3088584244251251},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.2030036449432373},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2700016975","display_name":"Study on mechanism of feature extraction based on GDS projection","funder_award_id":"16H02842","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W8105021","https://openalex.org/W64418311","https://openalex.org/W403203070","https://openalex.org/W1535021727","https://openalex.org/W1820849028","https://openalex.org/W2025341678","https://openalex.org/W2029900646","https://openalex.org/W2041657594","https://openalex.org/W2088328344","https://openalex.org/W2126017757","https://openalex.org/W2133892170","https://openalex.org/W2149338181","https://openalex.org/W2150796457","https://openalex.org/W2160888808","https://openalex.org/W2161347185","https://openalex.org/W2319989321","https://openalex.org/W2470608223","https://openalex.org/W2561443310","https://openalex.org/W2604169251","https://openalex.org/W2737267232","https://openalex.org/W2737702385","https://openalex.org/W2773441279","https://openalex.org/W6600324235"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2157839873","https://openalex.org/W2949110394","https://openalex.org/W2896134808","https://openalex.org/W1563281071","https://openalex.org/W4289378085","https://openalex.org/W2071055957","https://openalex.org/W4211228991","https://openalex.org/W2353790329","https://openalex.org/W3103861421"],"abstract_inverted_index":{"Bioacoustic":[0],"signal":[1,54,158],"classification":[2,181,191],"is":[3,60,91,103],"a":[4,51,89,144,150,166,172,180,190,194],"powerful":[5],"tool":[6],"for":[7],"biologists,":[8],"assisting":[9],"in":[10,18,101,135,179],"tasks":[11],"such":[12],"as":[13],"environmental":[14],"monitoring":[15],"of":[16,20,31,36,38,93,96,108,133,149,152,187],"biomes":[17],"areas":[19],"difficult":[21],"access,":[22],"and":[23,29,62,85,105,154,169],"providing":[24],"clues":[25],"about":[26],"the":[27,34,97,109,113,131,138,163,177,185],"evolution":[28],"categorization":[30],"animals":[32],"from":[33],"perspective":[35],"similarity":[37],"their":[39],"bioacoustic":[40,53,157,197],"mechanisms.":[41],"The":[42],"recently":[43],"proposed":[44],"mutual":[45],"singular":[46,125],"spectrum":[47,126],"analysis":[48,127],"(MSSA)":[49],"introduced":[50],"novel":[52],"representation":[55,160],"based":[56],"on":[57,193],"subspaces,":[58],"which":[59,100,129],"compact":[61],"requires":[63],"no":[64,79],"cost":[65],"intensive":[66],"preprocessing":[67],"techniques":[68],"(e.g.":[69],"segmentation,":[70],"noise":[71],"reduction":[72],"or":[73],"syllable":[74],"extraction).":[75],"However,":[76],"MSSA":[77,134],"has":[78],"discriminant":[80,173],"mechanism":[81,174],"to":[82,137,175],"separate":[83,176],"classes,":[84],"it":[86],"assumes":[87],"that":[88,143],"class":[90,145],"composed":[92,148],"linear":[94],"combinations":[95],"reference":[98],"signals,":[99],"practice":[102],"unlikely,":[104],"impairs":[106],"study":[107],"individuals'":[110],"signals":[111,198],"among":[112],"same":[114],"species.":[115],"In":[116],"this":[117],"paper":[118],"we":[119,141,155,170],"propose":[120],"an":[121],"extension":[122],"named":[123],"Grassmann":[124,167],"(GSSA),":[128],"preserves":[130],"advantages":[132],"addition":[136],"following":[139],"contributions:":[140],"assume":[142],"may":[146],"be":[147],"set":[151],"subspaces":[153,164],"simplify":[156],"subspace":[159],"by":[161],"mapping":[162],"onto":[165],"manifold;":[168],"offer":[171],"species":[178],"task.":[182],"We":[183],"demonstrate":[184],"validity":[186],"GSSA":[188],"through":[189],"experiment":[192],"publicly":[195],"available":[196],"dataset.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}