{"id":"https://openalex.org/W2521246420","doi":"https://doi.org/10.1109/icassp.2017.7953260","title":"Weakly supervised spoken term discovery using cross-lingual side information","display_name":"Weakly supervised spoken term discovery using cross-lingual side information","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2521246420","doi":"https://doi.org/10.1109/icassp.2017.7953260","mag":"2521246420"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1609.06530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076282184","display_name":"Sameer Bansal","orcid":"https://orcid.org/0000-0001-5607-1914"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sameer Bansal","raw_affiliation_strings":["Institute for Language Cognition, and Computation","Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Language Cognition, and Computation","institution_ids":[]},{"raw_affiliation_string":"Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040305929","display_name":"Herman Kamper","orcid":"https://orcid.org/0000-0003-2980-3475"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Herman Kamper","raw_affiliation_strings":["Centre for Speech Technology Research School of Informatics, University of Edinburgh, UK","Institute for Language Cognition, and Computation","Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Speech Technology Research School of Informatics, University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Institute for Language Cognition, and Computation","institution_ids":[]},{"raw_affiliation_string":"Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075564798","display_name":"Sharon Goldwater","orcid":"https://orcid.org/0000-0002-7298-0947"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sharon Goldwater","raw_affiliation_strings":["Institute for Language Cognition, and Computation","Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Language Cognition, and Computation","institution_ids":[]},{"raw_affiliation_string":"Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109031255","display_name":"Adam Lopez","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adam Lopez","raw_affiliation_strings":["Institute for Language Cognition, and Computation","Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Language Cognition, and Computation","institution_ids":[]},{"raw_affiliation_string":"Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5760","last_page":"5764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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":0.9975000023841858,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9919999837875366,"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/preprocessor","display_name":"Preprocessor","score":0.7997597455978394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7920811176300049},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6386889219284058},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6150401830673218},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5248546600341797},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5011420249938965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4900137484073639},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4633171558380127},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.45345115661621094},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4335027039051056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1088499128818512}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7997597455978394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7920811176300049},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6386889219284058},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6150401830673218},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5248546600341797},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5011420249938965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4900137484073639},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4633171558380127},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.45345115661621094},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4335027039051056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1088499128818512},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icassp.2017.7953260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1609.06530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.06530","pdf_url":"https://arxiv.org/pdf/1609.06530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2521246420","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1609.06530.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:pure.ed.ac.uk:openaire/001804d4-0fe9-4bc0-b02e-72f421742ce5","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/001804d4-0fe9-4bc0-b02e-72f421742ce5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bansal, S, Kamper, H, Goldwater, S & Lopez, A 2017, Weakly supervised spoken term discovery using cross-lingual side information. in The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). Institute of Electrical and Electronics Engineers, pp. 5760-5764, 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, Louisiana, United States, 5/03/17. https://doi.org/10.1109/ICASSP.2017.7953260","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/001804d4-0fe9-4bc0-b02e-72f421742ce5","is_oa":true,"landing_page_url":"http://ieeexplore.ieee.org/document/7953260/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bansal, S, Kamper, H, Goldwater, S & Lopez, A 2017, Weakly supervised spoken term discovery using cross-lingual side information. in The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). Institute of Electrical and Electronics Engineers, pp. 5760-5764, 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, Louisiana, United States, 5/03/17. https://doi.org/10.1109/ICASSP.2017.7953260","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.1609.06530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1609.06530","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1609.06530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.06530","pdf_url":"https://arxiv.org/pdf/1609.06530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W66167291","https://openalex.org/W1545920196","https://openalex.org/W1577418252","https://openalex.org/W1630959083","https://openalex.org/W1778492285","https://openalex.org/W1796128977","https://openalex.org/W1942713348","https://openalex.org/W2022058071","https://openalex.org/W2057007397","https://openalex.org/W2078769636","https://openalex.org/W2079460648","https://openalex.org/W2091746061","https://openalex.org/W2100768664","https://openalex.org/W2114347655","https://openalex.org/W2126203737","https://openalex.org/W2128160875","https://openalex.org/W2154455818","https://openalex.org/W2164365067","https://openalex.org/W2291469555","https://openalex.org/W2295297373","https://openalex.org/W2398490608","https://openalex.org/W2404799143","https://openalex.org/W2466918907","https://openalex.org/W2799046698","https://openalex.org/W2997181101","https://openalex.org/W3012492057","https://openalex.org/W3151142710","https://openalex.org/W3167238645","https://openalex.org/W6602705600","https://openalex.org/W6632653590","https://openalex.org/W6636599907","https://openalex.org/W6638059883","https://openalex.org/W6638159135","https://openalex.org/W6640777149","https://openalex.org/W6675022971","https://openalex.org/W6682450205","https://openalex.org/W6682494755","https://openalex.org/W6712202099","https://openalex.org/W6775053297","https://openalex.org/W6795514757","https://openalex.org/W6973666849"],"related_works":["https://openalex.org/W2963999449","https://openalex.org/W2952465655","https://openalex.org/W3120533153","https://openalex.org/W3105242324","https://openalex.org/W2341824394","https://openalex.org/W2804648901","https://openalex.org/W2990601943","https://openalex.org/W3214697273","https://openalex.org/W2188924248","https://openalex.org/W2468716020","https://openalex.org/W2940322076","https://openalex.org/W2397159106","https://openalex.org/W3015325583","https://openalex.org/W2785994290","https://openalex.org/W2403207842","https://openalex.org/W2938630833","https://openalex.org/W2262099980","https://openalex.org/W2550975896","https://openalex.org/W2963362078","https://openalex.org/W2402448994"],"abstract_inverted_index":{"Recent":[0],"work":[1],"on":[2,98],"unsupervised":[3],"term":[4],"discovery":[5],"(UTD)":[6],"aims":[7],"to":[8,53,75],"identify":[9],"and":[10,95,126],"cluster":[11],"repeated":[12],"word-like":[13],"units":[14],"from":[15],"audio":[16,29,103],"alone.":[17],"These":[18],"systems":[19],"are":[20],"promising":[21],"for":[22,84],"some":[23,43],"very":[24],"low-resource":[25],"languages":[26],"where":[27,33],"transcribed":[28],"is":[30],"unavailable,":[31],"or":[32],"no":[34],"written":[35],"form":[36],"of":[37,59,72,88,101,116,123],"the":[38,60,86,113,117],"language":[39],"exists.":[40],"However,":[41],"in":[42],"cases":[44],"it":[45,97,110],"may":[46],"still":[47],"be":[48,67],"feasible":[49],"(e.g.,":[50],"through":[51],"crowdsourcing)":[52],"obtain":[54],"(possibly":[55],"noisy)":[56],"text":[57,93],"translations":[58],"audio.":[61],"If":[62],"so,":[63],"this":[64],"information":[65,74],"could":[66],"used":[68],"as":[69],"a":[70,81,89,99,120],"source":[71],"side":[73],"improve":[76],"UTD.":[77],"Here,":[78],"we":[79],"present":[80],"simple":[82],"method":[83],"rescoring":[85],"output":[87],"UTD":[90],"system":[91,124],"using":[92],"translations,":[94],"test":[96],"corpus":[100],"Spanish":[102],"with":[104],"English":[105],"translations.":[106],"We":[107],"show":[108],"that":[109],"greatly":[111],"improves":[112],"average":[114],"precision":[115],"results":[118],"over":[119],"wide":[121],"range":[122],"configurations":[125],"data":[127],"preprocessing":[128],"methods.":[129]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
