{"id":"https://openalex.org/W1979058968","doi":"https://doi.org/10.1109/icassp.2013.6639203","title":"Rapid adaptation for mobile speech applications","display_name":"Rapid adaptation for mobile speech applications","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1979058968","doi":"https://doi.org/10.1109/icassp.2013.6639203","mag":"1979058968"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049614700","display_name":"Michiel Bacchiani","orcid":"https://orcid.org/0000-0003-4527-0197"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michiel Bacchiani","raw_affiliation_strings":["Google, Inc., New York, NY, USA","Google Inc., New York, NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc., New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., New York, NY, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049614700"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7903","last_page":"7907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9970999956130981,"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/T11309","display_name":"Music and Audio Processing","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8637436032295227},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7093483805656433},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6187475919723511},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6140025854110718},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5628646016120911},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.4922443926334381},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4857338070869446},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47886988520622253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38916245102882385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35189568996429443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32886427640914917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8637436032295227},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7093483805656433},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6187475919723511},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6140025854110718},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5628646016120911},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.4922443926334381},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4857338070869446},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47886988520622253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38916245102882385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35189568996429443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32886427640914917},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2013.6639203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.674.4600","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.4600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/42650.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W70955329","https://openalex.org/W1526415695","https://openalex.org/W1538424569","https://openalex.org/W1599512239","https://openalex.org/W1898467614","https://openalex.org/W2002342963","https://openalex.org/W2069631319","https://openalex.org/W2100969003","https://openalex.org/W2107613880","https://openalex.org/W2121415728","https://openalex.org/W2121981798","https://openalex.org/W2126483088","https://openalex.org/W2143693287","https://openalex.org/W2146871184","https://openalex.org/W2150769028","https://openalex.org/W2165108269","https://openalex.org/W2166637769","https://openalex.org/W2173213060","https://openalex.org/W2899506040","https://openalex.org/W6602991310","https://openalex.org/W6756028334"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W2529301793","https://openalex.org/W4390975304","https://openalex.org/W2384121599","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W2038083449","https://openalex.org/W4287804464"],"abstract_inverted_index":{"We":[0,14],"investigate":[1],"the":[2,20,46,56,65,78,88,97,103],"use":[3],"of":[4,102,117,119],"iVector-based":[5],"rapid":[6],"adaptation":[7],"for":[8,45,58],"recognition":[9],"in":[10],"mobile":[11],"speech":[12],"applications.":[13],"show":[15,75],"that":[16,70,76,106],"on":[17,114],"this":[18,107],"task,":[19],"proposed":[21,79],"approach":[22,108],"has":[23],"two":[24],"merits":[25],"over":[26],"a":[27,115],"linear-transform":[28],"based":[29],"approach.":[30],"First":[31],"it":[32,41,54],"provides":[33],"larger":[34],"error":[35],"reductions":[36],"(11%":[37],"vs.":[38],"6%)":[39],"as":[40],"is":[42],"better":[43],"suited":[44],"short":[47],"utterances":[48],"and":[49,64],"varied":[50],"recording":[51],"conditions.":[52],"Second":[53],"omits":[55],"need":[57],"speaker":[59],"data":[60,86],"pooling":[61],"and/or":[62],"clustering":[63],"very":[66],"large":[67,85,104],"infrastructure":[68],"complexity":[69],"accompanies":[71],"that.":[72],"Empirical":[73],"results":[74],"although":[77],"utterance-based":[80],"training":[81],"algorithm":[82],"leads":[83],"to":[84,111],"fragmentation,":[87],"resulting":[89],"model":[90],"re-estimation":[91],"performs":[92],"well.":[93],"Our":[94],"implementation":[95],"within":[96],"MapReduce":[98],"framework":[99],"allows":[100],"processing":[101],"statistics":[105],"gives":[109],"rise":[110],"when":[112],"applied":[113],"database":[116],"thousands":[118],"hours.":[120]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
