{"id":"https://openalex.org/W7162698592","doi":"https://doi.org/10.48550/arxiv.2605.27808","title":"TARQ: Tail-Aware Reconstruction Quantization for Rare-Word Robust Automatic Speech Recognition","display_name":"TARQ: Tail-Aware Reconstruction Quantization for Rare-Word Robust Automatic Speech Recognition","publication_year":2026,"publication_date":"2026-05-27","ids":{"openalex":"https://openalex.org/W7162698592","doi":"https://doi.org/10.48550/arxiv.2605.27808"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.27808","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27808","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.2605.27808","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137298617","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0003-2166-6111"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137232865","display_name":"Ziyu Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Ziyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137216503","display_name":"Ke Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Ke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137199004","display_name":"Silin Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Silin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137307097","display_name":"Dongming Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Dongming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137300161","display_name":"Xiao-Wen Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Xiao-Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137251650","display_name":"Yixuan HE","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"HE, Yixuan","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":0.9311000108718872,"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":0.9311000108718872,"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":0.025800000876188278,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.005499999970197678,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6844000220298767},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6082000136375427},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5927000045776367},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5741999745368958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46369999647140503},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.2971000075340271}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6844000220298767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399999856948853},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6082000136375427},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5927000045776367},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515000224113464},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.521399974822998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46369999647140503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36719998717308044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35440000891685486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2987000048160553},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.27808","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27808","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.2605.27808","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27808","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":[{"score":0.5926685333251953,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data-aware":[0],"post-training":[1],"quantization":[2],"(PTQ)":[3],"minimizes":[4],"a":[5,10,47,60,69],"per-token":[6],"reconstruction":[7],"loss":[8],"on":[9],"small":[11],"calibration":[12,39,53,80],"corpus,":[13],"implicitly":[14],"weighting":[15],"positions":[16],"by":[17],"their":[18],"empirical":[19],"frequency.":[20],"For":[21],"\\textbf{A}utomatic":[22],"\\textbf{S}peech":[23],"\\textbf{R}ecognition":[24],"(ASR),":[25],"this":[26],"misaligns":[27],"with":[28,68],"tail-sensitive":[29],"risk:":[30],"names,":[31],"numerals,":[32],"and":[33,85,93,118],"domain-specific":[34],"words":[35],"receive":[36],"proportionally":[37],"little":[38],"mass.":[40],"We":[41],"propose":[42],"\\textbf{Tail-Aware":[43],"Reconstruction":[44],"Quantization}":[45],"(\\TARQ),":[46],"label-free":[48],"PTQ":[49],"framework":[50],"that":[51],"shifts":[52],"toward":[54],"the":[55,110],"lexical":[56],"tail":[57],"via":[58],"\\textbf{\\rareBAL},":[59],"closed-form":[61],"per-Linear-layer":[62],"rule":[63],"equalizing":[64],"common/tail":[65],"mass,":[66],"paired":[67],"metric-consistent":[70],"residual":[71],"correction.":[72],"\\TARQ\\":[73,98],"requires":[74],"no":[75,78,82,86],"entity":[76,126],"labels,":[77],"curated":[79],"set,":[81],"validation":[83],"decoding,":[84],"additional":[87],"training.":[88],"Across":[89],"eight":[90],"ASR":[91],"backbones":[92],"six":[94],"datasets":[95],"at":[96],"W4G128,":[97],"improves":[99],"mean":[100],"rare-\\textbf{W}ord":[101],"\\textbf{E}rror":[102],"\\textbf{R}ate":[103],"(rare-WER)":[104],"without":[105,125],"an":[106],"aggregate-WER":[107],"regression,":[108],"achieves":[109],"lowest":[111],"cross-corpus":[112],"rare-WER":[113],"swing":[114],"among":[115],"compared":[116],"methods,":[117],"transfers":[119],"to":[120],"entity-rich":[121],"benchmarks":[122],"(ProfASR,":[123],"ContextASR-Speech-En)":[124],"supervision.":[127]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-29T00:00:00"}