{"id":"https://openalex.org/W2294428026","doi":"https://doi.org/10.21437/interspeech.2015-315","title":"Under-resourced speech recognition based on the speech manifold","display_name":"Under-resourced speech recognition based on the speech manifold","publication_year":2015,"publication_date":"2015-09-06","ids":{"openalex":"https://openalex.org/W2294428026","doi":"https://doi.org/10.21437/interspeech.2015-315","mag":"2294428026"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2015-315","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/bitstream/123456789/510516/1/3955_final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019931395","display_name":"Reza Sahraeian","orcid":"https://orcid.org/0000-0002-6240-1438"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reza Sahraeian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041039488","display_name":"Dirk Van Compernolle","orcid":"https://orcid.org/0000-0003-0075-848X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dirk Van Compernolle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5020014097","display_name":"Febe de Wet","orcid":"https://orcid.org/0000-0003-3495-9802"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Febe de Wet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5614,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93868072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1255","last_page":"1259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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":0.9976999759674072,"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":0.7927354574203491},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6732910871505737},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5470167398452759},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5454803109169006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5353441834449768},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.470742791891098},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44252943992614746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4327295422554016},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.421433687210083},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.41946911811828613},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.389525443315506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927354574203491},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6732910871505737},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5470167398452759},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5454803109169006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353441834449768},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.470742791891098},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44252943992614746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4327295422554016},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.421433687210083},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.41946911811828613},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.389525443315506},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2015-315","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/510516","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/510516","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/510516/1/3955_final.pdf","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"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":"Annual conference of the International Speech Communication Association (ISCA) - Interspeech 2015, Dresden, Germany, 6-10 September 2015","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/510516","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/510516","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/510516/1/3955_final.pdf","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"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":"Annual conference of the International Speech Communication Association (ISCA) - Interspeech 2015, Dresden, Germany, 6-10 September 2015","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2294428026.pdf","grobid_xml":"https://content.openalex.org/works/W2294428026.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W29952999","https://openalex.org/W70171357","https://openalex.org/W144374866","https://openalex.org/W148837159","https://openalex.org/W181056519","https://openalex.org/W1524333225","https://openalex.org/W1970890968","https://openalex.org/W1994606281","https://openalex.org/W2002276939","https://openalex.org/W2020057315","https://openalex.org/W2025198378","https://openalex.org/W2026369565","https://openalex.org/W2065136108","https://openalex.org/W2090764203","https://openalex.org/W2091746061","https://openalex.org/W2101094502","https://openalex.org/W2106440210","https://openalex.org/W2106554350","https://openalex.org/W2111306781","https://openalex.org/W2123798005","https://openalex.org/W2125879978","https://openalex.org/W2127982613","https://openalex.org/W2146168991","https://openalex.org/W2151402979","https://openalex.org/W2165355580","https://openalex.org/W2292087804","https://openalex.org/W2406820985","https://openalex.org/W2531061223","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2075383893","https://openalex.org/W2735380212","https://openalex.org/W2018887914","https://openalex.org/W2992378684","https://openalex.org/W2964829415","https://openalex.org/W642007152","https://openalex.org/W2122233706","https://openalex.org/W2105439218","https://openalex.org/W3143423642","https://openalex.org/W2131711534"],"abstract_inverted_index":{"Copyright":[0],"\u00a9":[1],"2015":[2],"ISCA.":[3],"Conventional":[4],"acoustic":[5,84],"modeling":[6],"involves":[7],"estimating":[8],"many":[9],"parameters":[10],"to":[11,43,88,94],"effectively":[12],"model":[13],"feature":[14,47,100,119],"distributions.":[15],"The":[16],"sparseness":[17],"of":[18,27,68,91,128,134,155],"speech":[19,33,52,61],"and":[20,31,79,112,140,146,163],"text":[21],"data,":[22],"however,":[23],"degrades":[24],"the":[25,28,51,66,89,95,125,131,153],"reliability":[26],"estimation":[29],"process":[30],"makes":[32],"recognition":[34],"a":[35,45],"challenging":[36],"task.":[37],"In":[38],"this":[39,99,118],"paper,":[40],"we":[41,64],"propose":[42],"use":[44],"nonlinear":[46],"transformation":[48],"based":[49],"on":[50],"manifold":[53],"called":[54],"Intrinsic":[55],"Spectral":[56],"Analysis":[57],"(ISA)":[58],"for":[59,75],"under-resourced":[60,147,164],"recognition.":[62],"First,":[63],"investigate":[65],"usefulness":[67],"ISA":[69,92,129,156],"features":[70,93,159],"in":[71,117,130,160],"low":[72],"resource":[73],"scenarios":[74],"both":[76,161],"Gaussian":[77],"mixture":[78],"deep":[80],"neural":[81],"network":[82],"(DNN)":[83],"modeling.":[85],"Moreover,":[86],"due":[87],"connection":[90],"articulatory":[96],"configuration":[97],"space,":[98],"space":[101,120],"is":[102,121],"potentially":[103],"less":[104],"language":[105],"dependent":[106],"than":[107],"other":[108],"typical":[109],"spectral-based":[110],"features,":[111],"therefore":[113],"exploiting":[114],"out-of-language":[115],"data":[116],"beneficial.":[122],"We":[123,151],"demonstrate":[124],"positive":[126],"effect":[127],"frame":[132],"work":[133],"multilingual":[135,162],"DNN":[136],"systems":[137],"where":[138],"Flemish":[139],"Afrikaans":[141],"are":[142],"used":[143],"as":[144],"donor":[145],"target":[148],"languages":[149],"respectively.":[150],"compare":[152],"performance":[154],"with":[157],"conventional":[158],"monolingual":[165],"conditions.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}