{"id":"https://openalex.org/W3202467894","doi":"https://doi.org/10.1109/tensymp52854.2021.9551007","title":"Supervised Learning-based Sound Source Distance Estimation Using Multivariate Features","display_name":"Supervised Learning-based Sound Source Distance Estimation Using Multivariate Features","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3202467894","doi":"https://doi.org/10.1109/tensymp52854.2021.9551007","mag":"3202467894"},"language":"en","primary_location":{"id":"doi:10.1109/tensymp52854.2021.9551007","doi":"https://doi.org/10.1109/tensymp52854.2021.9551007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tensymp52854.2021.9551007","pdf_url":null,"source":{"id":"https://openalex.org/S4363605250","display_name":"IEEE Region 10 Symposium (TENSYMP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Region 10 Symposium (TENSYMP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5020077517","display_name":"Kalamkas Zhagyparova","orcid":"https://orcid.org/0000-0002-8694-7988","observed_orcids":["https://orcid.org/0000-0002-8694-7988"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Kalamkas Zhagyparova","raw_affiliation_strings":["School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City, Republic of Kazakhstan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City, Republic of Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001293355","display_name":"Ruslan Zhagypar","orcid":"https://orcid.org/0000-0001-6393-2014","observed_orcids":["https://orcid.org/0000-0001-6393-2014"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Ruslan Zhagypar","raw_affiliation_strings":["School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City, Republic of Kazakhstan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City, Republic of Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040086890","display_name":"Amin Zollanvari","orcid":"https://orcid.org/0000-0002-9172-8413","observed_orcids":["https://orcid.org/0000-0002-9172-8413"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Amin Zollanvari","raw_affiliation_strings":["School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City, Republic of Kazakhstan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City, Republic of Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058941240","display_name":"Muhammad Tahir Akhtar","orcid":"https://orcid.org/0000-0001-5979-0682","observed_orcids":["https://orcid.org/0000-0001-5979-0682"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Muhammad Tahir Akhtar","raw_affiliation_strings":["School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City, Republic of Kazakhstan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City, Republic of Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":0.3176,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.52469464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9901999831199646,"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":0.9901999831199646,"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":0.007199999876320362,"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":0.00039999998989515007,"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/binaural-audio","display_name":"binaural audio","score":0.5809999704360962},{"id":"https://openalex.org/keywords/diffuseness","display_name":"diffuseness","score":0.7879999876022339},{"id":"https://openalex.org/keywords/magnitude-squared-coherence","display_name":"magnitude-squared coherence","score":0.9959999918937683},{"id":"https://openalex.org/keywords/direct-to-reverberant-ratio","display_name":"direct-to-reverberant ratio","score":0.9990000128746033},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.7879999876022339},{"id":"https://openalex.org/keywords/room-size-effects","display_name":"room size effects","score":0.5289999842643738},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"direction of arrival","score":0.6159999966621399}],"concepts":[{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.7310813069343567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6994288563728333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6404691934585571},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.5633840560913086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378913283348083},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47262001037597656},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.46630823612213135},{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.451491117477417},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4505588710308075},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4399207532405853},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.43582555651664734},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4112154543399811},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3253365457057953},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21353650093078613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.188683420419693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18421480059623718},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13666027784347534},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.12988674640655518},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11087626218795776},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tensymp52854.2021.9551007","doi":"https://doi.org/10.1109/tensymp52854.2021.9551007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tensymp52854.2021.9551007","pdf_url":null,"source":{"id":"https://openalex.org/S4363605250","display_name":"IEEE Region 10 Symposium (TENSYMP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Region 10 Symposium (TENSYMP)","raw_type":"proceedings-article"},{"id":"pmh:oai:nur.nu.edu.kz:123456789/15206","doi":null,"is_oa":false,"landing_page_url":"https://nur.nu.edu.kz/handle/123456789/15206","pdf_url":null,"source":{"id":"https://openalex.org/S4377196417","display_name":"Nazarbayev University Repository (Nazarbayev University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I60559429","host_organization_name":"Nazarbayev University","host_organization_lineage":["https://openalex.org/I60559429"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tensymp 2021 2021 IEEE Region 10 Symposium","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327695","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1558898279","https://openalex.org/W1967178846","https://openalex.org/W2051885135","https://openalex.org/W2065175896","https://openalex.org/W2099973374","https://openalex.org/W2109689830","https://openalex.org/W2117678320","https://openalex.org/W2130695501","https://openalex.org/W2162607306","https://openalex.org/W2742299865","https://openalex.org/W2800667026","https://openalex.org/W2957982397","https://openalex.org/W2997297221","https://openalex.org/W3015872775","https://openalex.org/W3111228114","https://openalex.org/W6925462057"],"related_works":["https://openalex.org/W2997297221","https://openalex.org/W1967178846","https://openalex.org/W4386764032","https://openalex.org/W1537545626","https://openalex.org/W4402981832","https://openalex.org/W2948144147","https://openalex.org/W4393241166","https://openalex.org/W2527915734","https://openalex.org/W4408146750","https://openalex.org/W163358726"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"the":[3,21,47,54,120,132,140],"use":[4,121,141],"of":[5,13,23,46,53,79,91,122,142],"supervised":[6],"machine":[7],"learning":[8],"methods":[9],"with":[10,73,88,150],"a":[11,33,40,143],"combination":[12],"several":[14],"sound":[15],"source":[16,124],"distance-dependent":[17],"features":[18,94],"to":[19,38,157],"tackle":[20],"problem":[22],"distance-of-arrival":[24],"(DisOA)":[25],"estimation.":[26],"The":[27,57,77,117],"DisOA":[28,50,160],"estimation":[29],"is":[30],"approached":[31],"as":[32,126,128],"classification":[34,161],"problem,":[35],"which":[36],"aims":[37],"classify":[39],"recorded":[41],"audio":[42],"signal":[43],"into":[44],"one":[45],"predefined":[48],"four":[49,92],"classes":[51],"regardless":[52],"orientation":[55],"angle.":[56],"datasets":[58],"for":[59],"both":[60],"training":[61],"and":[62,82,112,131],"testing":[63],"purposes":[64],"are":[65],"simulated":[66],"by":[67],"convolving":[68],"appropriate":[69],"room":[70,133],"impulse":[71],"responses":[72],"anechoic":[74],"speech":[75],"signals.":[76],"performance":[78],"three":[80],"conventional":[81],"efficient":[83],"classifiers":[84],"was":[85],"examined":[86],"along":[87,149],"various":[89],"subsets":[90],"extracted":[93],"including:":[95],"1)":[96],"Diffuseness":[97],"(DIFF);":[98],"2)":[99],"Binaural":[100],"spectral":[101],"magnitude":[102],"difference":[103],"standard":[104],"deviation":[105],"(BSMD-STD);":[106],"3)":[107],"Magnitude":[108],"squared":[109],"coherence":[110],"(MSC);":[111],"4)":[113],"Direct-to-reverberant":[114],"ratio":[115],"(DRR).":[116],"simulations":[118],"consider":[119],"different":[123],"signals":[125],"well":[127],"varying":[129],"directions-of-arrival":[130],"sizes.":[134],"Our":[135],"empirical":[136],"results":[137],"show":[138],"that":[139],"single":[144],"univariate":[145],"feature,":[146],"namely,":[147],"MSC,":[148],"K-nearest":[151],"neighbor":[152],"(KNN)":[153],"could":[154],"potentially":[155],"lead":[156],"an":[158],"accurate":[159],"rule.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2021-10-11T00:00:00"}