{"id":"https://openalex.org/W2408289839","doi":"https://doi.org/10.1109/icassp.2016.7472828","title":"Semantic word embedding neural network language models for automatic speech recognition","display_name":"Semantic word embedding neural network language models for automatic speech recognition","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2408289839","doi":"https://doi.org/10.1109/icassp.2016.7472828","mag":"2408289839"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5015927589","display_name":"Kartik Audhkhasi","orcid":"https://orcid.org/0000-0002-2340-1144"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kartik Audhkhasi","raw_affiliation_strings":["IBM Watson, IBM T. J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM Watson, IBM T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088302697","display_name":"Abhinav Sethy","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhinav Sethy","raw_affiliation_strings":["IBM Watson, IBM T. J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM Watson, IBM T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071715737","display_name":"Bhuvana Ramabhadran","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhuvana Ramabhadran","raw_affiliation_strings":["IBM Watson, IBM T. J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM Watson, IBM T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015927589"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":3.4278,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93485134,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5995","last_page":"5999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.884203314781189},{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.8480036854743958},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7267552614212036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6822167634963989},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.639453113079071},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6084263920783997},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5920929908752441},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.48919060826301575},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47689512372016907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.432931125164032},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.42788201570510864},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4185059070587158},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3620583415031433},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.3399220108985901},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.12627670168876648},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07665127515792847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.884203314781189},{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.8480036854743958},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7267552614212036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6822167634963989},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.639453113079071},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6084263920783997},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5920929908752441},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.48919060826301575},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47689512372016907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.432931125164032},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.42788201570510864},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4185059070587158},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3620583415031433},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3399220108985901},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.12627670168876648},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07665127515792847},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1494108583","https://openalex.org/W1499864241","https://openalex.org/W1614298861","https://openalex.org/W1631260214","https://openalex.org/W1828724394","https://openalex.org/W1979625042","https://openalex.org/W2037942319","https://openalex.org/W2098318492","https://openalex.org/W2112739286","https://openalex.org/W2118090838","https://openalex.org/W2130942839","https://openalex.org/W2152175008","https://openalex.org/W2158139315","https://openalex.org/W2160451571","https://openalex.org/W2185726469","https://openalex.org/W2250539671","https://openalex.org/W2250879510","https://openalex.org/W2251874715","https://openalex.org/W2404974730","https://openalex.org/W2916986993","https://openalex.org/W2952037945","https://openalex.org/W2962719052","https://openalex.org/W2963490782","https://openalex.org/W6629930100","https://openalex.org/W6636510571","https://openalex.org/W6636811518","https://openalex.org/W6638665372","https://openalex.org/W6639288305","https://openalex.org/W6677518113","https://openalex.org/W6679436768","https://openalex.org/W6683557909","https://openalex.org/W6713561562","https://openalex.org/W6890311436"],"related_works":["https://openalex.org/W2151348424","https://openalex.org/W2153295945","https://openalex.org/W2050138804","https://openalex.org/W1494910745","https://openalex.org/W2026635458","https://openalex.org/W2018066836","https://openalex.org/W3012445987","https://openalex.org/W3134365128","https://openalex.org/W2038882528","https://openalex.org/W2277021700"],"abstract_inverted_index":{"Semantic":[0],"word":[1,67,90,98,112,131],"embeddings":[2,68,91,99],"have":[3],"become":[4],"increasingly":[5],"important":[6],"in":[7,56,127],"natural":[8,62],"language":[9,52,63],"processing":[10,64],"tasks":[11],"over":[12],"the":[13,35,97,116],"last":[14],"few":[15],"years.":[16],"This":[17],"popularity":[18],"is":[19],"due":[20],"to":[21,24,70,82,96,119],"their":[22],"ability":[23],"easily":[25],"capture":[26,83],"rich":[27],"semantic":[28,84,89,111],"information":[29,94],"through":[30],"a":[31],"distributed":[32],"representation":[33],"and":[34,39,61,124,130],"availability":[36],"of":[37],"fast":[38],"scalable":[40],"algorithms":[41],"for":[42],"learning":[43],"them":[44],"from":[45],"large":[46],"text":[47,77],"corpora.":[48],"State-of-the-art":[49],"neural":[50],"network":[51],"models":[53],"(NNLMs)":[54],"used":[55],"automatic":[57],"speech":[58],"recognition":[59],"(ASR)":[60],"also":[65],"learn":[66],"optimized":[69,81],"model":[71],"local":[72],"N-gram":[73],"dependencies":[74],"given":[75],"training":[76],"but":[78],"are":[79],"not":[80],"information.":[85],"We":[86,103,114],"hypothesize":[87],"that":[88,109],"provide":[92],"diverse":[93],"compared":[95],"learned":[100],"by":[101],"NNLMs.":[102],"propose":[104],"novel":[105],"feedforward":[106],"NNLM":[107],"architectures":[108],"incorporate":[110],"embeddings.":[113],"apply":[115],"resulting":[117],"NNLMs":[118],"ASR":[120],"on":[121],"broadcast":[122],"news":[123],"show":[125],"improvements":[126],"both":[128],"perplexity":[129],"error":[132],"rate.":[133]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
