{"id":"https://openalex.org/W7140148807","doi":"https://doi.org/10.48550/arxiv.2603.20042","title":"LoASR-Bench: Evaluating Large Speech Language Models on Low-Resource Automatic Speech Recognition Across Language Families","display_name":"LoASR-Bench: Evaluating Large Speech Language Models on Low-Resource Automatic Speech Recognition Across Language Families","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7140148807","doi":"https://doi.org/10.48550/arxiv.2603.20042"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.20042","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20042","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.2603.20042","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130324582","display_name":"Jianan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jianan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130368002","display_name":"Xiaoxue Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Xiaoxue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130361043","display_name":"Tatsuya Kawahara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kawahara, Tatsuya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5024798531","display_name":"Nancy Fang-Yih Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Nancy F.","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":0.7773000001907349,"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":0.7773000001907349,"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/T13194","display_name":"ICT in Developing Communities","score":0.02019999921321869,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11448","display_name":"Face recognition and analysis","score":0.017999999225139618,"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/generalizability-theory","display_name":"Generalizability theory","score":0.6990000009536743},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5591999888420105},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5400999784469604},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49790000915527344},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.3919000029563904},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.38909998536109924},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.3294000029563904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8172000050544739},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6990000009536743},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5641999840736389},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5591999888420105},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5400999784469604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5049999952316284},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49790000915527344},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.3919000029563904},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3869999945163727},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.3294000029563904},{"id":"https://openalex.org/C94922259","wikidata":"https://www.wikidata.org/wiki/Q33215","display_name":"Constructed language","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C504749915","wikidata":"https://www.wikidata.org/wiki/Q9010971","display_name":"Speech technology","level":3,"score":0.2745000123977661},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.20042","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20042","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.2603.20042","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20042","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","score":0.8090640902519226,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1,10,60,93,119,127],"models":[2,11],"(LLMs)":[3],"have":[4],"driven":[5],"substantial":[6],"advances":[7],"in":[8,16,38,71,155],"speech":[9,18],"(SpeechLMs),":[12],"yielding":[13],"strong":[14],"performance":[15,142],"automatic":[17],"recognition":[19],"(ASR)":[20],"under":[21],"high-resource":[22,30],"conditions.":[23],"However,":[24],"existing":[25],"benchmarks":[26],"predominantly":[27],"focus":[28],"on":[29,84],"languages,":[31],"leaving":[32],"the":[33,66,114,149,152],"ASR":[34,49,70,141],"behavior":[35],"of":[36,68,113,140,143,151],"SpeechLMs":[37,83,116,154],"low-resource":[39,54,85,158],"languages":[40,55,86,124],"insufficiently":[41],"understood.":[42],"This":[43],"gap":[44],"is":[45,79],"critical,":[46],"as":[47],"practical":[48],"systems":[50],"must":[51],"reliably":[52],"support":[53],"and":[56,62,132,137],"generalize":[57],"across":[58,91,117],"diverse":[59,118],"families,":[61,128],"it":[63,78],"directly":[64],"hinders":[65],"deployment":[67],"SpeechLM-based":[69],"real-world":[72,157],"multilingual":[73],"scenarios.":[74],"As":[75],"a":[76,102],"result,":[77],"essential":[80],"to":[81,87,106],"evaluate":[82,107],"ensure":[88],"their":[89],"generalizability":[90],"different":[92],"families.":[94,120],"To":[95],"address":[96],"this":[97],"problem,":[98],"we":[99],"propose":[100],"\\textbf{LoASR-Bench},":[101],"comprehensive":[103],"benchmark":[104],"designed":[105],"\\textbf{lo}w-resource":[108],"\\textbf{a}utomatic":[109],"\\textbf{s}peech":[110],"\\textbf{r}ecognition":[111],"(\\textbf{ASR})":[112],"latest":[115,153],"LoASR-Bench":[121],"comprises":[122],"25":[123],"from":[125],"9":[126],"featuring":[129],"both":[130],"Latin":[131],"non-Latin":[133],"scripts,":[134],"enabling":[135],"cross-linguistic":[136],"cross-script":[138],"assessment":[139],"current":[144],"SpeechLMs.":[145],"Experimental":[146],"results":[147],"highlight":[148],"limitations":[150],"handling":[156],"languages.":[159]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-24T00:00:00"}
