{"id":"https://openalex.org/W2111951062","doi":"https://doi.org/10.21437/interspeech.2004-555","title":"Phone classification in pseudo-euclidean vector spaces","display_name":"Phone classification in pseudo-euclidean vector spaces","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W2111951062","doi":"https://doi.org/10.21437/interspeech.2004-555","mag":"2111951062"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-555","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1842/936","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029193854","display_name":"Alexander Gutkin","orcid":"https://orcid.org/0000-0001-6327-4824"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Gutkin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062516688","display_name":"Simon King","orcid":"https://orcid.org/0000-0002-2694-2843"},"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":"Simon King","raw_affiliation_strings":["School of Philosophy Psychology and Language Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Philosophy Psychology and Language Sciences","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1453","last_page":"1456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9991000294685364,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.5993147492408752},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5655513405799866},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5319749712944031},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5075773000717163},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49518170952796936},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.420763224363327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3680582642555237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32231247425079346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2489449679851532},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.18440422415733337},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09649431705474854},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0660105049610138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993147492408752},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5655513405799866},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5319749712944031},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5075773000717163},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49518170952796936},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.420763224363327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3680582642555237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32231247425079346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2489449679851532},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.18440422415733337},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09649431705474854},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0660105049610138},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2004-555","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},{"id":"pmh:oai:era.ed.ac.uk:1842/936","is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/936","pdf_url":"http://hdl.handle.net/1842/936","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","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":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:era.ed.ac.uk:1842/936","is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/936","pdf_url":"http://hdl.handle.net/1842/936","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2111951062.pdf","grobid_xml":"https://content.openalex.org/works/W2111951062.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W1979662950","https://openalex.org/W2073710718","https://openalex.org/W2159351056","https://openalex.org/W2164776003"],"related_works":["https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W3125580510","https://openalex.org/W2008939113","https://openalex.org/W14679004","https://openalex.org/W1566651525","https://openalex.org/W2977652649","https://openalex.org/W2318206461","https://openalex.org/W37157938","https://openalex.org/W4298154183"],"abstract_inverted_index":{"Recently":[0],"we":[1,79],"have":[2,41],"proposed":[3],"a":[4,19,82,92],"structural":[5,89],"framework":[6,31],"for":[7],"modelling":[8],"speech,":[9],"which":[10],"is":[11,97],"based":[12],"on":[13,106],"patterns":[14],"of":[15,49,57,101],"phonological":[16],"distinctive":[17],"features,":[18],"linguistically":[20],"well-motivated":[21],"alternative":[22],"to":[23,52,67,91],"standard":[24],"vector-space":[25],"acoustic":[26],"models":[27],"like":[28],"HMMs.":[29],"This":[30],"gives":[32],"considerable":[33],"representational":[34],"freedom":[35],"by":[36],"working":[37],"with":[38],"features":[39],"that":[40,81],"explicit":[42],"linguistic":[43],"interpretation,":[44],"but":[45],"at":[46],"the":[47,50,54,87,107],"expense":[48],"ability":[51],"apply":[53],"wide":[55],"range":[56],"analytical":[58],"decision":[59],"algorithms":[60],"available":[61],"in":[62],"vector":[63,95],"spaces,":[64],"restricting":[65],"oneself":[66],"more":[68],"computationally":[69],"expensive":[70],"and":[71],"less-developed":[72],"symbolic":[73],"metric":[74],"tools.":[75],"In":[76],"this":[77],"paper":[78],"show":[80],"dissimilarity-based":[83],"distance-preserving":[84],"transition":[85],"from":[86],"original":[88],"representation":[90],"corresponding":[93],"pseudo-Euclidean":[94],"space":[96],"possible.":[98],"Promising":[99],"results":[100],"phone":[102],"classification":[103],"experiments":[104],"conducted":[105],"TIMIT":[108],"database":[109],"are":[110],"reported.":[111]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
