{"id":"https://openalex.org/W7154379319","doi":"https://doi.org/10.48550/arxiv.2604.09916","title":"Regularized Entropy Information Adaptation with Temporal-Awareness Networks for Simultaneous Speech Translation","display_name":"Regularized Entropy Information Adaptation with Temporal-Awareness Networks for Simultaneous Speech Translation","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7154379319","doi":"https://doi.org/10.48550/arxiv.2604.09916"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.09916","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09916","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2604.09916","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133619918","display_name":"Joseph Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Joseph","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099173854","display_name":"Nameer Hirschkind","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hirschkind, Nameer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133588162","display_name":"Xiao Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081255157","display_name":"Mahesh Kumar Nandwana","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nandwana, Mahesh Kumar","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/T10201","display_name":"Speech Recognition and Synthesis","score":0.4726000130176544,"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":0.4726000130176544,"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":0.18209999799728394,"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":0.07150000333786011,"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/robustness","display_name":"Robustness (evolution)","score":0.5817999839782715},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5163000226020813},{"id":"https://openalex.org/keywords/speech-translation","display_name":"Speech translation","score":0.4771000146865845},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44290000200271606},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4318000078201294},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.41190001368522644},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.388700008392334},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.36489999294281006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7590000033378601},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5817999839782715},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5382999777793884},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5163000226020813},{"id":"https://openalex.org/C2780366754","wikidata":"https://www.wikidata.org/wiki/Q7494857","display_name":"Speech translation","level":3,"score":0.4771000146865845},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4318000078201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4311999976634979},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.41190001368522644},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.09916","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09916","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2604.09916","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09916","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6824259161949158}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Simultaneous":[0],"Speech":[1],"Translation":[2],"(SimulST)":[3],"requires":[4],"balancing":[5],"high":[6],"translation":[7],"quality":[8],"with":[9],"low":[10],"latency.":[11],"Recent":[12],"work":[13],"introduced":[14],"REINA,":[15],"a":[16,20,66,72,93],"method":[17],"that":[18,36,79],"trains":[19],"Read/Write":[21],"policy":[22,45],"based":[23],"on":[24],"estimating":[25],"the":[26,44,53,85,115],"information":[27],"gain":[28],"of":[29,52,118],"reading":[30,50],"more":[31,104],"audio.":[32],"However,":[33],"we":[34],"find":[35],"information-based":[37],"policies":[38],"often":[39],"lack":[40],"temporal":[41],"context,":[42],"leading":[43],"to":[46,57,110,130],"bias":[47],"itself":[48],"toward":[49],"most":[51],"audio":[54],"before":[55],"starting":[56],"write.":[58],"We":[59],"improve":[60,114],"REINA":[61],"using":[62],"two":[63],"distinct":[64],"strategies:":[65],"supervised":[67],"alignment":[68],"network":[69,74],"(REINA-SAN)":[70],"and":[71,87],"timestep-augmented":[73],"(REINA-TAN).":[75],"Our":[76],"results":[77],"demonstrate":[78],"while":[80],"both":[81,112],"methods":[82,113],"significantly":[83],"outperform":[84],"baseline":[86],"resolve":[88],"stability":[89],"issues,":[90],"REINA-TAN":[91],"provides":[92],"slightly":[94],"superior":[95],"Pareto":[96],"frontier":[97,117],"for":[98],"streaming":[99,119],"efficiency,":[100],"whereas":[101],"REINA-SAN":[102],"offers":[103],"robustness":[105],"against":[106],"'read":[107],"loops'.":[108],"Applied":[109],"Whisper,":[111],"pareto":[116],"efficiency":[120],"as":[121],"measured":[122],"by":[123],"Normalized":[124],"Streaming":[125],"Efficiency":[126],"(NoSE)":[127],"scores":[128],"up":[129],"7.1%":[131],"over":[132],"existing":[133],"competitive":[134],"baselines.":[135]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-15T00:00:00"}