{"id":"https://openalex.org/W7164153041","doi":"https://doi.org/10.48550/arxiv.2606.10360","title":"ViP-VL: Vietnamese Self-supervised Speech Pretraining Model with Vector-Quantization Learning","display_name":"ViP-VL: Vietnamese Self-supervised Speech Pretraining Model with Vector-Quantization Learning","publication_year":2026,"publication_date":"2026-06-09","ids":{"openalex":"https://openalex.org/W7164153041","doi":"https://doi.org/10.48550/arxiv.2606.10360"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.10360","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10360","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.2606.10360","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112684412","display_name":"Khanh Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Khanh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114672738","display_name":"Kiet Anh Hoang","orcid":"https://orcid.org/0000-0001-8438-6585"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoang, Kiet Anh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101534116","display_name":"Bao Quoc Nguyen","orcid":"https://orcid.org/0000-0002-5692-3176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Bao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138370662","display_name":"Duy Vo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vo, Duy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105015178","display_name":"Dung Vo","orcid":"https://orcid.org/0009-0004-3262-8721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vo, Dung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138345397","display_name":"Thai Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tran, Thai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138343600","display_name":"Linh Pham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pham, Linh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080642445","display_name":"Khoa D. Doan","orcid":"https://orcid.org/0000-0002-1610-8206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doan, Khoa D","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":0.8539000153541565,"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":0.8539000153541565,"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":0.06260000169277191,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.03610000014305115,"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/vietnamese","display_name":"Vietnamese","score":0.9210000038146973},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6118000149726868},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4415999948978424},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3610000014305115},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.3578999936580658},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.35510000586509705},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.351500004529953}],"concepts":[{"id":"https://openalex.org/C103621254","wikidata":"https://www.wikidata.org/wiki/Q9199","display_name":"Vietnamese","level":2,"score":0.9210000038146973},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7271000146865845},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6118000149726868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6039000153541565},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38670000433921814},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3801000118255615},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3610000014305115},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.3578999936580658},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3246999979019165},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C504749915","wikidata":"https://www.wikidata.org/wiki/Q9010971","display_name":"Speech technology","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.10360","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10360","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.2606.10360","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10360","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"ViP-VL,":[2],"an":[3],"efficient":[4,21],"Vietnamese":[5,65,98],"Self-supervised":[6],"speech":[7,99],"Pretraining":[8],"model":[9,68],"leveraging":[10],"Vector-quantization":[11],"Learning.":[12],"To":[13,89],"bridge":[14],"the":[15,39,56,94],"gap":[16],"between":[17],"high-resolution":[18],"audio":[19],"and":[20,27,86,93,107],"processing,":[22],"ViP-VL":[23],"incorporates":[24],"Acoustic":[25],"Stacking":[26],"Receptive":[28],"Field":[29],"Alignment":[30],"to":[31],"enable":[32],"a":[33,48],"synchronized":[34],"8x":[35],"subsampling":[36],"rate":[37],"within":[38],"ChunkFormer":[40],"architecture,":[41],"while":[42],"further":[43],"enhancing":[44],"representation":[45],"robustness":[46],"through":[47],"specialized":[49],"Mask":[50],"Selection":[51],"Strategy":[52],"during":[53],"pretraining":[54],"on":[55,60],"BEST-RQ":[57],"framework.":[58],"Pretrained":[59],"17,000":[61],"hours":[62],"of":[63,96],"unlabeled":[64],"speech,":[66],"our":[67,104],"establishes":[69],"new":[70],"state-of-the-art":[71],"results":[72],"across":[73],"four":[74],"major":[75],"downstream":[76],"tasks:":[77],"Automatic":[78],"Speech":[79,81],"Recognition,":[80,83],"Emotion":[82],"Dialect":[84],"Classification,":[85],"Speaker":[87],"Verification.":[88],"facilitate":[90],"future":[91],"research":[92],"development":[95],"high-performance":[97],"technologies,":[100],"we":[101],"publicly":[102],"release":[103],"pretrained":[105],"weights":[106],"implementation":[108],"at":[109],"github.com/khanld/chunkformer.":[110]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-11T00:00:00"}