{"id":"https://openalex.org/W2890216513","doi":"https://doi.org/10.1145/3264945","title":"Deep Room Recognition Using Inaudible Echos","display_name":"Deep Room Recognition Using Inaudible Echos","publication_year":2018,"publication_date":"2018-09-18","ids":{"openalex":"https://openalex.org/W2890216513","doi":"https://doi.org/10.1145/3264945","mag":"2890216513"},"language":"en","primary_location":{"id":"doi:10.1145/3264945","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3264945","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/88075/2/Deep%20Room%20Recognition%20Using%20Inaudible%20Echos.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017671322","display_name":"Qun Song","orcid":"https://orcid.org/0000-0002-3611-9404"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qun Song","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074511454","display_name":"Chaojie Gu","orcid":"https://orcid.org/0000-0003-2153-811X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chaojie Gu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040651615","display_name":"Rui Tan","orcid":"https://orcid.org/0000-0001-8441-9973"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rui Tan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.2625,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.81076931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"3","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.7723432779312134},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.48818808794021606},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.4803851246833801},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4698076844215393},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4696696698665619},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4561525881290436},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.4403992295265198},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.421913743019104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3792728781700134},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21394723653793335},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10832545161247253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723432779312134},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.48818808794021606},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.4803851246833801},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4698076844215393},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4696696698665619},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4561525881290436},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.4403992295265198},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.421913743019104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3792728781700134},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21394723653793335},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10832545161247253},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3264945","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3264945","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/88075","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/49692","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/88075/2/Deep%20Room%20Recognition%20Using%20Inaudible%20Echos.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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:dr.ntu.edu.sg:10356/88075","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/49692","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/88075/2/Deep%20Room%20Recognition%20Using%20Inaudible%20Echos.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335158","display_name":"Energy Research Institute, Nanyang Technological University","ror":"https://ror.org/02e7b5302"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2890216513.pdf","grobid_xml":"https://content.openalex.org/works/W2890216513.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1536095973","https://openalex.org/W1643892426","https://openalex.org/W1686810756","https://openalex.org/W1860259465","https://openalex.org/W1977687024","https://openalex.org/W1985970254","https://openalex.org/W1997430507","https://openalex.org/W2017475793","https://openalex.org/W2036946260","https://openalex.org/W2052384514","https://openalex.org/W2061824965","https://openalex.org/W2086954706","https://openalex.org/W2090861223","https://openalex.org/W2101234009","https://openalex.org/W2116068514","https://openalex.org/W2118602640","https://openalex.org/W2142136129","https://openalex.org/W2142216726","https://openalex.org/W2153200718","https://openalex.org/W2156257723","https://openalex.org/W2158899491","https://openalex.org/W2160815625","https://openalex.org/W2165158100","https://openalex.org/W2170102584","https://openalex.org/W2172093107","https://openalex.org/W2271840356","https://openalex.org/W2510496906","https://openalex.org/W2525860450","https://openalex.org/W2548765505","https://openalex.org/W2618530766","https://openalex.org/W2756172860","https://openalex.org/W2781729860","https://openalex.org/W2808434155","https://openalex.org/W2919115771","https://openalex.org/W2952230511","https://openalex.org/W2963728985","https://openalex.org/W6683738474"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2088854863","https://openalex.org/W2011227383","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"seen":[3],"the":[4,23,71,75,85,102,106,122,125,129,161,168,216,227],"increasing":[5],"need":[6],"of":[7,124,230],"location":[8],"awareness":[9],"by":[10,36],"mobile":[11,156,162],"applications.":[12],"This":[13,94],"paper":[14,95],"presents":[15],"a":[16,30,37,61,115,150,203,210],"room-level":[17],"indoor":[18],"localization":[19],"approach":[20,57],"based":[21,219],"on":[22,145,220],"measured":[24],"room's":[25,86],"echos":[26,127],"in":[27,60,105,193,202,209],"response":[28],"to":[29,53,69,90,99,165,174],"two-millisecond":[31],"single-tone":[32],"inaudible":[33,63,126],"chirp":[34],"emitted":[35],"smartphone's":[38],"loudspeaker.":[39],"Different":[40],"from":[41],"other":[42,137],"acoustics-based":[43],"room":[44,92,169],"recognition":[45,170,231],"systems":[46],"that":[47,114,159,184],"record":[48],"full-spectrum":[49],"audio":[50,59,79],"for":[51,65],"up":[52],"ten":[54],"seconds,":[55],"our":[56],"records":[58],"narrow":[62],"band":[64],"0.1":[66],"seconds":[67],"only":[68],"preserve":[70],"user's":[72],"privacy.":[73],"However,":[74],"short-time":[76],"and":[77,141,154,178,190,196,206],"narrowband":[78],"signal":[80],"carries":[81],"limited":[82],"information":[83],"about":[84],"characteristics,":[87],"presenting":[88],"challenges":[89],"accurate":[91],"recognition.":[93],"applies":[96],"deep":[97,142],"learning":[98],"effectively":[100],"capture":[101],"subtle":[103],"fingerprints":[104],"rooms'":[107],"acoustic":[108],"responses.":[109],"Our":[110],"extensive":[111],"experiments":[112],"show":[113],"two-layer":[116],"convolutional":[117],"neural":[118],"network":[119],"fed":[120],"with":[121,133,215],"spectrogram":[123],"achieve":[128],"best":[130],"performance,":[131],"compared":[132],"alternative":[134],"designs":[135],"using":[136],"raw":[138],"data":[139],"formats":[140],"models.":[143],"Based":[144],"this":[146],"result,":[147],"we":[148],"design":[149],"RoomRecognize":[151,185,224],"cloud":[152],"service":[153],"its":[155],"client":[157],"library":[158],"enable":[160],"application":[163],"developers":[164],"readily":[166],"implement":[167],"functionality":[171],"without":[172],"resorting":[173],"any":[175],"existing":[176],"infrastructures":[177],"add-on":[179],"hardware.":[180],"Extensive":[181],"evaluation":[182],"shows":[183],"achieves":[186],"99.7%,":[187],"97.7%,":[188],"99%,":[189],"89%":[191],"accuracy":[192,232],"differentiating":[194],"22":[195],"50":[197],"residential/office":[198],"rooms,":[199],"19":[200],"spots":[201,208],"quiet":[204],"museum,":[205,212],"15":[207],"crowded":[211],"respectively.":[213],"Compared":[214],"state-of-the-art":[217],"approaches":[218],"support":[221],"vector":[222],"machine,":[223],"significantly":[225],"improves":[226],"Pareto":[228],"frontier":[229],"versus":[233],"robustness":[234],"against":[235],"interfering":[236],"sounds":[237],"(e.g.,":[238],"ambient":[239],"music).":[240]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}