{"id":"https://openalex.org/W159170959","doi":"https://doi.org/10.21437/icslp.2002-569","title":"F0 generation for speech synthesis using a multi-tier approach","display_name":"F0 generation for speech synthesis using a multi-tier approach","publication_year":2002,"publication_date":"2002-09-16","ids":{"openalex":"https://openalex.org/W159170959","doi":"https://doi.org/10.21437/icslp.2002-569","mag":"159170959"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2002-569","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2002-569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Spoken Language Processing (ICSLP 2002)","raw_type":"proceedings-article"},"type":"article","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/A5044683519","display_name":"Xuejing Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xuejing Sun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044683519"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2784,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.8096837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2077","last_page":"2080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9836999773979187,"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/T10860","display_name":"Speech and Audio Processing","score":0.9768999814987183,"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":0.7483199834823608},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46384766697883606},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.4603334367275238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483199834823608},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46384766697883606},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.4603334367275238}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/icslp.2002-569","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2002-569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Spoken Language Processing (ICSLP 2002)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.18.3096","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mel.speech.nwu.edu/sunxj/publications/sun_f0_icslp02.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W110071876","https://openalex.org/W141349824","https://openalex.org/W1496929357","https://openalex.org/W1500192039","https://openalex.org/W1594337151","https://openalex.org/W2093414802","https://openalex.org/W2126289105","https://openalex.org/W2137401844","https://openalex.org/W2149017325","https://openalex.org/W2151251521","https://openalex.org/W2428180336"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W127416991"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5],"multi-tier":[6],"phonetic":[7],"model":[8],"for":[9,25,38],"intonation":[10],"synthesis.":[11],"Four":[12],"tiers":[13],"are":[14,36],"defined":[15],"aiming":[16],"at":[17,62],"different":[18],"components":[19],"of":[20],"intonation.":[21],"The":[22,56],"parametric":[23],"representation":[24],"each":[26,39],"tier":[27,40],"is":[28],"realized":[29],"through":[30],"underlying":[31],"pitch":[32],"target.":[33],"Regression":[34],"trees":[35],"built":[37],"upon":[41],"appropriate":[42],"feature":[43],"set.":[44],"Both":[45],"numerical":[46],"evaluation":[47],"and":[48],"informal":[49],"listening":[50],"test":[51],"have":[52],"yielded":[53],"encouraging":[54],"results.":[55],"synthesized":[57],"sentences":[58],"can":[59],"be":[60],"accessed":[61],"http://mel.speech.northwestern.edu/sunxj/prosody.htm":[63]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}