{"id":"https://openalex.org/W2028380100","doi":"https://doi.org/10.1145/2160601.2160618","title":"Discriminative pronunciation learning for speech recognition for resource scarce languages","display_name":"Discriminative pronunciation learning for speech recognition for resource scarce languages","publication_year":2012,"publication_date":"2012-03-11","ids":{"openalex":"https://openalex.org/W2028380100","doi":"https://doi.org/10.1145/2160601.2160618","mag":"2028380100"},"language":"en","primary_location":{"id":"doi:10.1145/2160601.2160618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2160601.2160618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM Symposium on Computing for Development","raw_type":"proceedings-article"},"type":"article","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/A5051452806","display_name":"Hao Yee Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yee Chan","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh","Carnegie Mellon University. Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University. Pittsburgh","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040906638","display_name":"Roni Rosenfeld","orcid":"https://orcid.org/0000-0002-3274-5862"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roni Rosenfeld","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh","Carnegie Mellon University. Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University. Pittsburgh","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0238,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97993143,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13194","display_name":"ICT in Developing Communities","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T13194","display_name":"ICT in Developing Communities","score":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9186000227928162,"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/computer-science","display_name":"Computer science","score":0.848991870880127},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.8129507303237915},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7862498760223389},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6752093434333801},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.590069591999054},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5873168110847473},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5869857668876648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811617374420166},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.570000410079956},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4638211131095886},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.46220067143440247},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11212906241416931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.848991870880127},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.8129507303237915},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7862498760223389},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6752093434333801},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.590069591999054},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5873168110847473},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5869857668876648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811617374420166},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.570000410079956},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4638211131095886},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.46220067143440247},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11212906241416931},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2160601.2160618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2160601.2160618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM Symposium on Computing for Development","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.307.9736","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.9736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~roni/papers/salaam-DEV2012.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W132775144","https://openalex.org/W1985944252","https://openalex.org/W2062574890","https://openalex.org/W2099732761","https://openalex.org/W2110911455"],"related_works":["https://openalex.org/W2183593636","https://openalex.org/W2350724007","https://openalex.org/W2355751417","https://openalex.org/W2423284978","https://openalex.org/W2083922162","https://openalex.org/W2000075989","https://openalex.org/W4220683390","https://openalex.org/W2776838583","https://openalex.org/W2359469050","https://openalex.org/W1997182898"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,21,98],"describe":[4],"a":[5,26,43,86],"method":[6],"to":[7,51],"create":[8],"speech":[9,46],"recognition":[10,104],"capability":[11],"for":[12,59,91],"small":[13,27],"vocabularies":[14],"in":[15,74,94,102],"resource-scarce":[16,19],"languages.":[17],"By":[18],"languages,":[20],"mean":[22],"languages":[23],"that":[24],"have":[25],"or":[28],"economically":[29],"disadvantaged":[30],"user":[31],"base":[32],"which":[33],"are":[34],"typically":[35],"ignored":[36],"by":[37,105],"the":[38,53,68,80,95],"commercial":[39],"world.":[40],"We":[41,78],"use":[42],"high-quality":[44],"welltrained":[45],"recognizer":[47,70],"as":[48],"our":[49,75],"baseline":[50,69],"remove":[52,99],"dependence":[54],"on":[55],"large":[56],"audio":[57],"data":[58],"an":[60],"accurate":[61],"acoustic":[62],"model.":[63],"Using":[64],"cross-language":[65],"phoneme":[66],"mapping,":[67],"effectively":[71],"recognizes":[72],"words":[73],"target":[76],"language.":[77],"automate":[79],"generation":[81],"of":[82,88],"pronunciations":[83,90],"and":[84],"generate":[85],"set":[87],"initial":[89],"each":[92],"word":[93,103],"vocabulary.":[96],"Next,":[97],"potential":[100],"conflicts":[101],"discriminative":[106],"training.":[107],"1.":[108]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}