{"id":"https://openalex.org/W7165666331","doi":"https://doi.org/10.48550/arxiv.2606.20714","title":"A Generalized Formalism of Auto-Regressive Decoding for Speech Processing","display_name":"A Generalized Formalism of Auto-Regressive Decoding for Speech Processing","publication_year":2026,"publication_date":"2026-06-16","ids":{"openalex":"https://openalex.org/W7165666331","doi":"https://doi.org/10.48550/arxiv.2606.20714"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.20714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20714","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.2606.20714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121650368","display_name":"Julia Gachot","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gachot, Julia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046907706","display_name":"Philipp Allgeuer","orcid":"https://orcid.org/0000-0002-2355-0764"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Allgeuer, Philipp","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121600954","display_name":"Marie Bauer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bauer, Marie S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139209502","display_name":"Stefan Wermter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wermter, Stefan","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":0.7526000142097473,"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":0.7526000142097473,"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":0.04309999942779541,"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":0.026200000196695328,"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/formalism","display_name":"Formalism (music)","score":0.6696000099182129},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6417999863624573},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.565500020980835},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.45579999685287476},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.37380000948905945},{"id":"https://openalex.org/keywords/serial-memory-processing","display_name":"Serial memory processing","score":0.3310999870300293},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.32760000228881836}],"concepts":[{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.6696000099182129},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6417999863624573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6136000156402588},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.565500020980835},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37790000438690186},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C27163531","wikidata":"https://www.wikidata.org/wiki/Q7454694","display_name":"Serial memory processing","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3208000063896179},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31439998745918274},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.29840001463890076},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2606000006198883}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.20714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20714","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.2606.20714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20714","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":"Reduced inequalities","score":0.7271447777748108,"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":{"In":[0],"speech":[1,91],"processing,":[2,92],"most":[3],"state-of-the-art":[4],"sequence":[5],"prediction":[6],"models":[7],"rely":[8],"on":[9,18,103,134],"auto-regressive":[10,74],"(AR)":[11],"strategies":[12,38,105],"to":[13,47,99],"generate":[14],"output":[15],"sequences":[16],"based":[17],"the":[19,23,30,58,69,85,111,118,124],"raw":[20],"predictions":[21],"of":[22,36,52,63,71,87,113,120],"model.":[24],"Despite":[25],"their":[26],"crucial":[27],"role":[28],"in":[29,68,90,116],"inference":[31],"process,":[32,126],"a":[33,40,95],"comprehensive":[34],"overview":[35],"AR":[37,88],"as":[39,73],"unified":[41],"field":[42,86],"is":[43],"lacking,":[44],"due":[45],"largely":[46],"implicit":[48],"and":[49,61,93,101],"multiple":[50],"definitions":[51],"next-token":[53],"decoding.":[54],"This":[55],"context":[56],"complicates":[57],"choice,":[59],"comparison,":[60],"evaluation":[62],"strategies,":[64],"while":[65],"creating":[66],"inconsistencies":[67],"characterization":[70],"approaches":[72],"or":[75],"not.":[76],"We":[77,109],"begin":[78],"by":[79],"setting":[80],"explicit":[81],"inclusion":[82],"criteria":[83],"for":[84,106,128],"search":[89,104,135],"derive":[94],"generalized":[96],"theoretical":[97],"framework":[98],"categorize":[100],"report":[102],"neural":[107],"models.":[108],"show":[110],"capabilities":[112],"this":[114],"formalism":[115],"simplifying":[117],"design":[119],"benchmarks":[121],"centered":[122],"around":[123],"decoding":[125],"allowing":[127],"ablation":[129],"studies":[130],"that":[131],"are":[132],"focused":[133],"strategies.":[136]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}