{"id":"https://openalex.org/W168087145","doi":"https://doi.org/10.21437/interspeech.2006-593","title":"Generating German intonation with a trainable prosodic model","display_name":"Generating German intonation with a trainable prosodic model","publication_year":2006,"publication_date":"2006-09-17","ids":{"openalex":"https://openalex.org/W168087145","doi":"https://doi.org/10.21437/interspeech.2006-593","mag":"168087145"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2006-593","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071432574","display_name":"G\u00e9rard Bailly","orcid":"https://orcid.org/0000-0002-6053-0818"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00e9rard Bailly","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056558389","display_name":"Jan Gorisch","orcid":"https://orcid.org/0000-0001-8410-1682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan Gorisch","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5468,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64711191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"paper 2017","last_page":"Thu1FoP.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9757999777793884,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9498999714851379,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intonation","display_name":"Intonation (linguistics)","score":0.8634704351425171},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.7777330875396729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007948160171509},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.52060866355896},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43856045603752136},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3879554867744446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3663519620895386},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05026361346244812}],"concepts":[{"id":"https://openalex.org/C2781045179","wikidata":"https://www.wikidata.org/wiki/Q5576720","display_name":"Intonation (linguistics)","level":2,"score":0.8634704351425171},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.7777330875396729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007948160171509},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.52060866355896},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43856045603752136},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3879554867744446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3663519620895386},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05026361346244812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2006-593","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W36044367","https://openalex.org/W38355094","https://openalex.org/W39887858","https://openalex.org/W107046217","https://openalex.org/W141443464","https://openalex.org/W191101173","https://openalex.org/W281711673","https://openalex.org/W1504955803","https://openalex.org/W1865834476","https://openalex.org/W1942270970","https://openalex.org/W1990448242","https://openalex.org/W2095172853","https://openalex.org/W2096195361","https://openalex.org/W2104674061","https://openalex.org/W2107807958","https://openalex.org/W2118197641","https://openalex.org/W2142337420","https://openalex.org/W2247776648","https://openalex.org/W2401533136","https://openalex.org/W2407028210","https://openalex.org/W2588340457"],"related_works":["https://openalex.org/W2315527029","https://openalex.org/W2065387230","https://openalex.org/W1987060333","https://openalex.org/W2323937687","https://openalex.org/W1995767100","https://openalex.org/W648995381","https://openalex.org/W2141885522","https://openalex.org/W2776312268","https://openalex.org/W2017461238","https://openalex.org/W2009487810"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"trainable":[2,84,173],"prosodic":[3,61,85,174,240,269],"model":[4,66,86,104,175],"called":[5],"SFC":[6,87,282,302],"(Superposition":[7,88],"of":[8,53,56,89,105,150,166,201,205,217,238,246,300],"Functional":[9,90],"Contours),":[10],"proposed":[11,65],"by":[12,63,95,109],"Holm":[13,96],"and":[14,44,67,97,121,156,162,188,209,223,233],"Bailly,":[15],"is":[16,24,200,308],"here":[17,275],"confronted":[18,178],"to":[19,146,152,179,185,226,255,268,294],"German":[20,199,218,247,295],"intonation.":[21,296],"Training":[22],"material":[23,307],"the":[25,41,50,64,73,147,160,170,228,236,281,301,316],"publicly":[26],"available":[27,70,314],"Siemens":[28],"Synthesis":[29],"Corpus":[30],"that":[31,48,113,249,284],"provides":[32],"spoken":[33,186],"utterances":[34],"for":[35,235],"high-quality":[36],"speech":[37,78,180,184,256],"synthesis.":[38],"We":[39,273],"describe":[40,274],"labeling":[42],"framework":[43],"first":[45,277,298],"evaluation":[46,81],"results":[47],"compares":[49],"original":[51],"prosody":[52,219],"test":[54],"sentences":[55],"this":[57],"corpus":[58],"with":[59,262],"their":[60],"rendering":[62],"state-of-the-art":[68,311],"systems":[69,313],"on-line":[71],"on":[72,127,315],"web.":[74,317],"Index":[75],"Terms":[76],":":[77],"synthesis,":[79],"prosody,":[80],"Introduction":[82],"The":[83],"Contours)":[91],"has":[92,176],"been":[93,177,251],"developed":[94],"Bailly":[98],"[1-3].":[99],"It":[100],"implements":[101],"a":[102,259],"theoretical":[103],"intonation":[106,151,248],"initially":[107],"sketched":[108],"Auberge":[110],"[4,":[111],"5]":[112],"promotes":[114],"an":[115],"intimate":[116],"link":[117],"between":[118],"phonetic":[119],"forms":[120],"linguistic":[122],"functions:":[123],"metalinguistic":[124,143],"functions":[125,144],"acting":[126],"different":[128,133,189],"discourse":[129],"units":[130,155,168],"(thus":[131],"at":[132],"scopes)":[134],"are":[135],"directly":[136],"implemented":[137],"as":[138],"global":[139],"multiparametric":[140],"contours.":[141],"These":[142],"refer":[145],"general":[148],"ability":[149],"demarcate":[153],"phonological":[154,260],"convey":[157],"information":[158],"about":[159],"propositional":[161],"interactional":[163],"func":[164],"tions":[165],"these":[167],"within":[169],"discourse.":[171],"This":[172],"styles":[181],"(from":[182],"read":[183],"maths)":[187],"languages":[190],"including":[191],"French,":[192],"Galician":[193],"or":[194],"more":[195],"recently":[196],"Chinese":[197],"[6].":[198],"most":[202,243],"interest":[203],"because":[204],"its":[206,210],"rich":[207,288],"morphology":[208],"potentially":[211,286],"deep":[212],"recursive":[213,239],"syntactic":[214],"embedding.":[215],"Analysis":[216],"notably":[220],"induces":[221],"Schreuder":[222],"Gilbers":[224],"[7]":[225],"question":[227],"Strict":[229],"Layer":[230],"Hypothesis":[231],"[8]":[232],"claim":[234],"existence":[237],"phrases.":[241],"While":[242],"quantitative":[244],"models":[245],"have":[250],"so":[252],"far":[253],"applied":[254],"synthesis":[257],"use":[258],"representation":[261],"few":[263],"levels":[264],"when":[265],"not":[266],"limited":[267,305],"phrases":[270],"[9,":[271],"10].":[272],"our":[276],"efforts":[278],"in":[279],"confronting":[280],"-":[283],"may":[285],"capture":[287],"embedded":[289],"performance":[290],"structures":[291],"[11]":[292],"\u0096":[293],"Our":[297],"parameterization":[299],"usi":[303],"ng":[304],"training":[306],"evaluated":[309],"against":[310],"text-to-speech":[312]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
