{"id":"https://openalex.org/W4399554215","doi":"https://doi.org/10.48550/arxiv.2406.06251","title":"Learning Fine-Grained Controllability on Speech Generation via Efficient\n Fine-Tuning","display_name":"Learning Fine-Grained Controllability on Speech Generation via Efficient\n Fine-Tuning","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399554215","doi":"https://doi.org/10.48550/arxiv.2406.06251"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.06251","pdf_url":"http://arxiv.org/pdf/2406.06251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2406.06251","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072923563","display_name":"Chung-Ming Chien","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chien, Chung-Ming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038296765","display_name":"Andros Tjandra","orcid":"https://orcid.org/0000-0003-1246-5908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tjandra, Andros","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108691882","display_name":"Apoorv Vyas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vyas, Apoorv","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104325341","display_name":"Matt Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Matt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672423","display_name":"Bowen Shi","orcid":"https://orcid.org/0000-0002-0689-9964"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Bowen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051950818","display_name":"Wei-Ning Hsu","orcid":"https://orcid.org/0000-0001-5546-5217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hsu, Wei-Ning","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":83},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.989,"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":0.989,"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":0.9549,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9497,"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/fine-tuning","display_name":"Fine-tuning","score":0.66884476}],"concepts":[{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.928428},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.66884476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604307},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4143424},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13944846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13073137},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.06251","pdf_url":"http://arxiv.org/pdf/2406.06251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.06251","pdf_url":"http://arxiv.org/pdf/2406.06251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4239246781","https://openalex.org/W4205698120","https://openalex.org/W2748952813","https://openalex.org/W2561315646","https://openalex.org/W2332386680","https://openalex.org/W2248621902","https://openalex.org/W2164760767","https://openalex.org/W2036697162","https://openalex.org/W2003779889"],"abstract_inverted_index":{"As":[0],"the":[1,67,73,90,102],"scale":[2],"of":[3,13,50,95,104],"generative":[4],"models":[5,15],"continues":[6],"to":[7],"grow,":[8],"efficient":[9,60],"reuse":[10],"and":[11,92],"adaptation":[12],"pre-trained":[14,36,55],"have":[16],"become":[17],"crucial":[18],"considerations.":[19],"In":[20],"this":[21],"work,":[22],"we":[23,57,88],"propose":[24],"Voicebox":[25,37,96,105],"Adapter,":[26],"a":[27,35,42,47],"novel":[28],"approach":[29],"that":[30,66],"integrates":[31],"fine-grained":[32,84],"conditions":[33],"into":[34],"speech":[38,80],"generation":[39,86],"model":[40],"using":[41],"cross-attention":[43],"module.":[44],"To":[45],"ensure":[46],"smooth":[48],"integration":[49],"newly":[51],"added":[52],"modules":[53],"with":[54,69],"ones,":[56],"explore":[58],"various":[59],"fine-tuning":[61],"approaches.":[62],"Our":[63],"experiment":[64],"shows":[65],"LoRA":[68],"bias-tuning":[70],"configuration":[71],"yields":[72],"best":[74],"performance,":[75],"enhancing":[76],"controllability":[77],"without":[78],"compromising":[79],"quality.":[81],"Across":[82],"three":[83],"conditional":[85],"tasks,":[87],"demonstrate":[89],"effectiveness":[91],"resource":[93],"efficiency":[94],"Adapter.":[97],"Follow-up":[98],"experiments":[99],"further":[100],"highlight":[101],"robustness":[103],"Adapter":[106],"across":[107],"diverse":[108],"data":[109],"setups.":[110]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4399554215","counts_by_year":[],"updated_date":"2025-01-20T23:51:19.131535","created_date":"2024-06-12"}