{"id":"https://openalex.org/W1912941063","doi":"https://doi.org/10.21437/interspeech.2008-187","title":"Investigating festival's target cost function using perceptual experiments","display_name":"Investigating festival's target cost function using perceptual experiments","publication_year":2008,"publication_date":"2008-09-22","ids":{"openalex":"https://openalex.org/W1912941063","doi":"https://doi.org/10.21437/interspeech.2008-187","mag":"1912941063"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2008-187","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.pure.ed.ac.uk/ws/files/20136095/attaca.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028468680","display_name":"Volker Strom","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":"Volker Strom","raw_affiliation_strings":["University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"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":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1873","last_page":"1876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.7768888473510742},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7012360095977783},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6995531320571899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6695399880409241},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6039945483207703},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5959135293960571},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5669000744819641},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5544695258140564},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5205110907554626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4836665093898773},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4188382923603058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1952875554561615},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1262674331665039},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10469609498977661},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.057530611753463745}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7768888473510742},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7012360095977783},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6995531320571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6695399880409241},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6039945483207703},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5959135293960571},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5669000744819641},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5544695258140564},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5205110907554626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4836665093898773},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4188382923603058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1952875554561615},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1262674331665039},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10469609498977661},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.057530611753463745},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.21437/interspeech.2008-187","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/ff04d287-3bd3-4712-a08c-19a9c34d65db","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.11820/ff04d287-3bd3-4712-a08c-19a9c34d65db","pdf_url":"https://www.pure.ed.ac.uk/ws/files/20136095/attaca.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.217.2297","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.217.2297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cstr.ed.ac.uk/downloads/publications/2008/IS080514.pdf","raw_type":"text"},{"id":"pmh:oai:era.ed.ac.uk:1842/3908","is_oa":false,"landing_page_url":"http://hdl.handle.net/1842/3908","pdf_url":null,"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"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/ff04d287-3bd3-4712-a08c-19a9c34d65db","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/ff04d287-3bd3-4712-a08c-19a9c34d65db","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":"Strom, V & King, S 2008, Investigating Festival's target cost function using perceptual experiments. in Proc. Interspeech.","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/ff04d287-3bd3-4712-a08c-19a9c34d65db","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.11820/ff04d287-3bd3-4712-a08c-19a9c34d65db","pdf_url":"https://www.pure.ed.ac.uk/ws/files/20136095/attaca.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7725608835","display_name":"Automatic target cost and database design for unit-selection speech synthesis","funder_award_id":"EP/E031447/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1912941063.pdf","grobid_xml":"https://content.openalex.org/works/W1912941063.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W42086565","https://openalex.org/W1493093888","https://openalex.org/W1529897604","https://openalex.org/W1809686770"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2942366970","https://openalex.org/W4205262062","https://openalex.org/W2002629668","https://openalex.org/W181477314"],"abstract_inverted_index":{"We":[0],"describe":[1],"an":[2],"investigation":[3],"of":[4,38,73,106,115],"the":[5,10,36,39,53,74,104,107,113],"target":[6,28,40,47,108,127],"cost":[7,29,41,48],"used":[8,101],"in":[9,55],"Festival":[11],"unit":[12,125],"selection":[13],"speech":[14,123],"synthesis":[15],"system":[16],"[1].":[17],"Our":[18],"ultimate":[19],"goal":[20],"is":[21,49,64],"to":[22,89,102,112],"automatically":[23],"learn":[24],"a":[25],"perceptually":[26],"optimal":[27],"function.":[30],"In":[31],"this":[32],"study,":[33],"we":[34],"investigated":[35],"behaviour":[37,105],"for":[42],"one":[43],"segment":[44],"type.":[45],"The":[46,95],"based":[50],"on":[51],"counting":[52],"mismatches":[54],"several":[56],"context":[57,119],"features.":[58,120],"A":[59],"carrier":[60],"sentence":[61],"(\u201cMy":[62],"name":[63],"Roger\u201d)":[65],"was":[66],"synthesised":[67],"using":[68],"all":[69],"147,820":[70],"possible":[71],"combinations":[72],"diphones":[75],"/n":[76],"ei":[77],"/":[78],"and":[79,87],"/ei":[80],"m/.":[81],"92":[82],"representative":[83],"versions":[84],"were":[85,100],"selected":[86],"presented":[88],"listeners":[90,96],"as":[91],"460":[92],"pairwise":[93],"comparisons.":[94],"\u2019":[97],"preference":[98],"votes":[99],"analyse":[103],"cost,":[109],"with":[110],"respect":[111],"values":[114],"its":[116],"component":[117],"linguistic":[118],"Index":[121],"Terms:":[122],"synthesis,":[124],"selection,":[126],"costs":[128],"1.":[129]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}