{"id":"https://openalex.org/W7127610036","doi":"https://doi.org/10.48550/arxiv.2602.03762","title":"Conditional Flow Matching for Visually-Guided Acoustic Highlighting","display_name":"Conditional Flow Matching for Visually-Guided Acoustic Highlighting","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127610036","doi":"https://doi.org/10.48550/arxiv.2602.03762"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.03762","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03762","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2602.03762","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092938842","display_name":"Hugo Malard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malard, Hugo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123520119","display_name":"Gael Le Lan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lan, Gael Le","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125035730","display_name":"Daniel Wong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wong, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060129632","display_name":"David Lou Alon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alon, David Lou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125090828","display_name":"Yi-Chiao Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yi-Chiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001145583","display_name":"Sanjeel Parekh","orcid":"https://orcid.org/0000-0002-2251-7436"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parekh, Sanjeel","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/T10860","display_name":"Speech and Audio Processing","score":0.49880000948905945,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.49880000948905945,"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":0.3425000011920929,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.05959999933838844,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7915999889373779},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.555899977684021},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5360000133514404},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49889999628067017},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47530001401901245},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4537999927997589},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4268999993801117},{"id":"https://openalex.org/keywords/guitar","display_name":"Guitar","score":0.3765999972820282},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3682999908924103}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7915999889373779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088000178337097},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5360000133514404},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5188000202178955},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49889999628067017},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4519999921321869},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4268999993801117},{"id":"https://openalex.org/C95543465","wikidata":"https://www.wikidata.org/wiki/Q6607","display_name":"Guitar","level":2,"score":0.3765999972820282},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3682999908924103},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34049999713897705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C38956757","wikidata":"https://www.wikidata.org/wiki/Q716215","display_name":"Audio feedback","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C100142294","wikidata":"https://www.wikidata.org/wiki/Q2070426","display_name":"Selective auditory attention","level":4,"score":0.2872999906539917},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27489998936653137},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2669999897480011},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.2648000121116638},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.2612000107765198},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.03762","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03762","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.03762","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03762","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7534725666046143,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Visually-guided":[0],"acoustic":[1,27],"highlighting":[2,28],"seeks":[3],"to":[4,33,104],"rebalance":[5],"audio":[6,52,64,145,177],"in":[7,51,89,99],"alignment":[8],"with":[9,47],"the":[10,48,101,126,169],"accompanying":[11],"video,":[12],"creating":[13],"a":[14,75,80,119,140],"coherent":[15],"audio-visual":[16],"experience.":[17],"While":[18],"visual":[19,36,147],"saliency":[20],"and":[21,37,62,78,110,132,146,160],"enhancement":[22],"have":[23],"been":[24],"widely":[25],"studied,":[26],"remains":[29],"underexplored,":[30],"often":[31],"leading":[32],"misalignment":[34],"between":[35,60],"auditory":[38],"focus.":[39],"Existing":[40],"approaches":[41],"use":[42],"discriminative":[43,172],"models,":[44],"which":[45],"struggle":[46],"inherent":[49],"ambiguity":[50],"remixing,":[53],"where":[54],"no":[55],"natural":[56],"one-to-one":[57],"mapping":[58],"exists":[59],"poorly-balanced":[61],"well-balanced":[63],"mixes.":[65],"To":[66,114],"address":[67,115],"this":[68,72],"limitation,":[69],"we":[70,117],"reframe":[71],"task":[73],"as":[74],"generative":[76,183],"problem":[77],"introduce":[79,118],"Conditional":[81],"Flow":[82],"Matching":[83],"(CFM)":[84],"framework.":[85],"A":[86],"key":[87],"challenge":[88],"iterative":[90],"flow-based":[91],"generation":[92],"is":[93,179],"that":[94,122,143,164,175],"early":[95],"prediction":[96],"errors":[97],"--":[98,106],"selecting":[100],"correct":[102],"source":[103,156],"enhance":[105],"compound":[107],"over":[108],"steps":[109],"push":[111],"trajectories":[112,131],"off-manifold.":[113],"this,":[116],"rollout":[120],"loss":[121],"penalizes":[123],"drift":[124],"at":[125],"final":[127],"step,":[128],"encouraging":[129],"self-correcting":[130],"stabilizing":[133],"long-range":[134],"flow":[135],"integration.":[136],"We":[137],"further":[138],"propose":[139],"conditioning":[141],"module":[142],"fuses":[144],"cues":[148],"before":[149],"vector":[150],"field":[151],"regression,":[152],"enabling":[153],"explicit":[154],"cross-modal":[155],"selection.":[157],"Extensive":[158],"quantitative":[159],"qualitative":[161],"evaluations":[162],"show":[163],"our":[165],"method":[166],"consistently":[167],"surpasses":[168],"previous":[170],"state-of-the-art":[171],"approach,":[173],"establishing":[174],"visually-guided":[176],"remixing":[178],"best":[180],"addressed":[181],"through":[182],"modeling.":[184]},"counts_by_year":[],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2026-02-06T00:00:00"}