{"id":"https://openalex.org/W7170761114","doi":"https://doi.org/10.48550/arxiv.2607.20951","title":"Designed Vocalizations Dataset: Sound-Designed Human and Animal Voices for Non-human Voice Conversion","display_name":"Designed Vocalizations Dataset: Sound-Designed Human and Animal Voices for Non-human Voice Conversion","publication_year":2026,"publication_date":"2026-07-23","ids":{"openalex":"https://openalex.org/W7170761114","doi":"https://doi.org/10.48550/arxiv.2607.20951"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.20951","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.20951","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.20951","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143534211","display_name":"Seolhee Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Seolhee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143556874","display_name":"Minsu Kang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang, Minsu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143548547","display_name":"Yangsun Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Yangsun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143561354","display_name":"Woosun Min","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min, Woosun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057261199","display_name":"Choonghyeon Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Choonghyeon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143561418","display_name":"Namhyun Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho, Namhyun","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.23720000684261322,"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/T12128","display_name":"AI in Service Interactions","score":0.23720000684261322,"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/T11448","display_name":"Face recognition and analysis","score":0.12380000203847885,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.08789999783039093,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/timbre","display_name":"Timbre","score":0.8162000179290771},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5827999711036682},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5519000291824341},{"id":"https://openalex.org/keywords/human-voice","display_name":"Human voice","score":0.545199990272522},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48730000853538513},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.40049999952316284},{"id":"https://openalex.org/keywords/voice-analysis","display_name":"Voice analysis","score":0.39739999175071716},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.39410001039505005}],"concepts":[{"id":"https://openalex.org/C2776539107","wikidata":"https://www.wikidata.org/wiki/Q176501","display_name":"Timbre","level":3,"score":0.8162000179290771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6220999956130981},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5827999711036682},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5519000291824341},{"id":"https://openalex.org/C20766975","wikidata":"https://www.wikidata.org/wiki/Q7390","display_name":"Human voice","level":2,"score":0.545199990272522},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.513700008392334},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48730000853538513},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C182964821","wikidata":"https://www.wikidata.org/wiki/Q7939498","display_name":"Voice analysis","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3555000126361847},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3492000102996826},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C173988693","wikidata":"https://www.wikidata.org/wiki/Q678132","display_name":"Phonation","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C2992441837","wikidata":"https://www.wikidata.org/wiki/Q7362","display_name":"Human ear","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.25040000677108765},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.20951","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.20951","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.20951","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.20951","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.6063994765281677}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Advances":[0],"in":[1],"AI-based":[2],"voice":[3],"conversion":[4],"have":[5],"enabled":[6],"a":[7,87],"wide":[8],"range":[9],"of":[10,46],"media":[11],"applications,":[12],"including":[13,67],"films,":[14],"audiobooks,":[15],"and":[16,21,37,69,72,99,118,123],"games.":[17],"However,":[18],"most":[19],"research":[20],"public":[22],"benchmarks":[23],"still":[24],"focus":[25],"on":[26],"natural":[27],"human":[28],"speech,":[29],"leaving":[30],"designed":[31],"vocalizations,":[32,71],"such":[33],"as":[34],"monster":[35],"growls":[36],"robotic":[38],"voices,":[39],"underexplored,":[40],"partly":[41],"due":[42],"to":[43,78,102,114],"the":[44,56],"lack":[45],"publicly":[47],"available":[48,127],"resources.":[49],"To":[50],"address":[51],"this":[52],"gap,":[53],"we":[54,109],"introduce":[55],"Designed":[57],"Vocalizations":[58],"Dataset,":[59],"constructed":[60],"by":[61],"curating":[62],"diverse":[63],"raw":[64],"vocal":[65,75],"sources,":[66],"speech":[68],"animal":[70],"applying":[73],"professional":[74],"effects":[76],"processing":[77],"produce":[79],"corresponding":[80],"effect":[81],"modified":[82],"variants.":[83],"We":[84],"further":[85],"provide":[86],"standardized":[88],"test":[89],"set":[90],"with":[91],"explicit":[92],"seen/unseen":[93],"splits":[94],"over":[95],"source":[96],"timbre":[97],"groups":[98],"preset":[100],"styles":[101],"assess":[103],"generalization":[104],"under":[105],"controlled":[106],"conditions.":[107],"Finally,":[108],"report":[110],"baseline":[111],"benchmark":[112],"results":[113],"support":[115],"reproducible":[116],"evaluation":[117],"future":[119],"research.":[120],"The":[121],"dataset":[122],"demo":[124],"samples":[125],"are":[126],"at":[128],"https://ncai-official.github.io/speech/publications/designed-vocalizations-dataset/.":[129]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-25T00:00:00"}