{"id":"https://openalex.org/W1568435822","doi":"https://doi.org/10.21437/icslp.1994-394","title":"Hidden Markov models and selectively trained neural networks for connected confusable word recognition","display_name":"Hidden Markov models and selectively trained neural networks for connected confusable word recognition","publication_year":1994,"publication_date":"1994-09-18","ids":{"openalex":"https://openalex.org/W1568435822","doi":"https://doi.org/10.21437/icslp.1994-394","mag":"1568435822"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1994-394","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1994-394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd International Conference on Spoken Language Processing (ICSLP 1994)","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/A5102058012","display_name":"Jean-Frangois Mari","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jean-Frangois Mari","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046546502","display_name":"Dominique Fohr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dominique Fohr","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017595364","display_name":"Yolande Anglade","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yolande Anglade","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111420783","display_name":"Jean-Claude Junqua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Claude Junqua","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102058012"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2594,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88311785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1519","last_page":"1522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8826000094413757,"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/T10028","display_name":"Topic Modeling","score":0.8826000094413757,"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":0.7873048782348633},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7238631844520569},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6140896081924438},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5841715335845947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5779292583465576},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4965205788612366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4060443043708801},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4033081829547882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08631440997123718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873048782348633},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7238631844520569},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6140896081924438},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5841715335845947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5779292583465576},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4965205788612366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4060443043708801},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4033081829547882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08631440997123718},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/icslp.1994-394","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1994-394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd International Conference on Spoken Language Processing (ICSLP 1994)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.29.5174","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.5174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.loria.fr/pub/loria/rfia/publications/parole/mari.HIDDEN_MARKOV_MODELS94.ps.Z","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2084583704"],"related_works":["https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W1987783679","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861","https://openalex.org/W2296205523"],"abstract_inverted_index":{"This":[0,52],"paper":[1],"presents":[2],"a":[3,25,41,89,94,99],"new":[4],"method":[5,53],"for":[6,121,135],"connected-word":[7],"recognition":[8,17,106],"with":[9,72,81],"confusable":[10,36,129],"vocabularies,":[11],"such":[12],"as":[13],"connected":[14],"letters.":[15],"The":[16,69,112],"process":[18],"is":[19],"performed":[20],"in":[21,125,139],"two":[22],"steps.":[23],"First,":[24],"second-order":[26],"HMM":[27,75,115],"provides":[28],"N-best":[29],"word":[30],"strings.":[31],"Then,":[32],"the":[33,66,73,78,82,126],"strings":[34],"of":[35,114,128],"letters":[37],"are":[38,84,117,132],"discriminated":[39],"by":[40],"procedure":[42,96],"based":[43,97],"on":[44,57,98],"acoustic":[45],"knowledge":[46],"and":[47,77,86,93],"artificial":[48],"neural":[49],"networks":[50],"(ANN).":[51],"has":[54],"been":[55],"tested":[56],"an":[58],"American-English":[59],"database":[60],"containing":[61],"spelled":[62],"names":[63],"collected":[64],"through":[65],"telephone":[67],"network.":[68],"results":[70,131],"obtained":[71],"first":[74],"pass":[76],"improvements":[79],"made":[80],"ANN":[83],"presented":[85],"discussed.":[87],"When":[88],"3,300":[90],"name":[91],"dictionary":[92],"retrieval":[95],"DTW":[100],"alignment":[101],"algorithm":[102],"were":[103],"used,":[104],"96%":[105],"accuracy":[107],"was":[108],"obtained.":[109],"I.":[110],"INTRODUCTION":[111],"performances":[113],"recognizers":[116],"now":[118],"quite":[119],"satisfactory":[120],"small":[122],"vocabularies.":[123],"However,":[124],"case":[127],"words,":[130],"not":[133],"sufficient":[134],"real-world":[136],"applications,":[137],"especially":[138],"adverse":[140],"conditions":[141],"like":[142],"noisy":[143],"or":[144],"tele...":[145]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
