{"id":"https://openalex.org/W2753094133","doi":"https://doi.org/10.1147/jrd.2017.2701178","title":"Recent advances in conversational speech recognition using convolutional and recurrent neural networks","display_name":"Recent advances in conversational speech recognition using convolutional and recurrent neural networks","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2753094133","doi":"https://doi.org/10.1147/jrd.2017.2701178","mag":"2753094133"},"language":"en","primary_location":{"id":"doi:10.1147/jrd.2017.2701178","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2017.2701178","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-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/A5079994647","display_name":"George Saon","orcid":"https://orcid.org/0009-0004-6837-5009"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Saon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034529775","display_name":"Michael Picheny","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Picheny","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":3.4079,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93706185,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"61","issue":"4/5","first_page":"1:1","last_page":"1:10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":1.0,"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":1.0,"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/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983000159263611,"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":0.8058151006698608},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7634401321411133},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7548518180847168},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6456079483032227},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6408678889274597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6165681481361389},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6062442064285278},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5668103694915771},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5641278028488159},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5121526718139648},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47554728388786316},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4355723261833191},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42475682497024536},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4245019257068634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35925108194351196},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34163913130760193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33772042393684387},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.13650164008140564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08506649732589722}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058151006698608},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7634401321411133},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7548518180847168},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6456079483032227},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6408678889274597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6165681481361389},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6062442064285278},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5668103694915771},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5641278028488159},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5121526718139648},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47554728388786316},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4355723261833191},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42475682497024536},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4245019257068634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35925108194351196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34163913130760193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33772042393684387},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13650164008140564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08506649732589722},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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":1,"locations":[{"id":"doi:10.1147/jrd.2017.2701178","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2017.2701178","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W11314411","https://openalex.org/W97072897","https://openalex.org/W1533416326","https://openalex.org/W1598897937","https://openalex.org/W1686810756","https://openalex.org/W1797288984","https://openalex.org/W1922655562","https://openalex.org/W1924770834","https://openalex.org/W1998656041","https://openalex.org/W2002342963","https://openalex.org/W2028706510","https://openalex.org/W2050971845","https://openalex.org/W2064675550","https://openalex.org/W2079623482","https://openalex.org/W2097599384","https://openalex.org/W2104448323","https://openalex.org/W2105024701","https://openalex.org/W2114016253","https://openalex.org/W2124537004","https://openalex.org/W2127095586","https://openalex.org/W2131342762","https://openalex.org/W2136848157","https://openalex.org/W2143612262","https://openalex.org/W2144790469","https://openalex.org/W2158195707","https://openalex.org/W2166637769","https://openalex.org/W2168941687","https://openalex.org/W2184045248","https://openalex.org/W2198724430","https://openalex.org/W2288502450","https://openalex.org/W2394932179","https://openalex.org/W2396033037","https://openalex.org/W2400505028","https://openalex.org/W2403195671","https://openalex.org/W2507436421","https://openalex.org/W2514741789","https://openalex.org/W2533523411","https://openalex.org/W2962719052","https://openalex.org/W2962835968","https://openalex.org/W2963211739","https://openalex.org/W2963266252","https://openalex.org/W2963490782","https://openalex.org/W2963795358","https://openalex.org/W4205897042","https://openalex.org/W4249003657","https://openalex.org/W4285719527","https://openalex.org/W6600493724","https://openalex.org/W6603931906","https://openalex.org/W6637373629","https://openalex.org/W6638218882","https://openalex.org/W6639288305","https://openalex.org/W6640090968","https://openalex.org/W6640212811","https://openalex.org/W6679429981","https://openalex.org/W6686210252","https://openalex.org/W6711802761","https://openalex.org/W6711962127","https://openalex.org/W6712772800","https://openalex.org/W6713280142","https://openalex.org/W6728841359"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2610189143","https://openalex.org/W1997182898","https://openalex.org/W2944691285"],"abstract_inverted_index":{"Deep":[0],"learning":[1,16,30],"methodologies":[2],"have":[3],"had":[4],"a":[5,11,26,45,104,116,134],"major":[6],"impact":[7],"on":[8,140,171],"performance":[9,40,60,164],"across":[10],"wide":[12],"variety":[13],"of":[14,28,96,138,153],"machine":[15],"tasks,":[17],"and":[18,69,84,111,122,156],"speech":[19,50],"recognition":[20,51],"is":[21,61,157,166],"no":[22],"exception.":[23],"We":[24,55,73],"describe":[25],"set":[27],"deep":[29],"techniques":[31],"that":[32,57,114,162],"proved":[33],"to":[34,168],"be":[35,169],"particularly":[36],"successful":[37],"in":[38],"achieving":[39],"gains":[41],"inword":[42],"error":[43,136],"rateon":[44],"popular":[46],"large":[47],"vocabulary":[48],"conversational":[49],"benchmark":[52],"task":[53],"(\u201cSwitchboard\u201d).":[54],"found":[56],"the":[58,94,146,151],"best":[59,147],"achieved":[62],"by":[63,93],"combining":[64],"features":[65],"from":[66],"both":[67],"recurrent":[68,76],"convolutional":[70,97,105,109],"neural":[71,131],"networks.":[72],"compare":[74],"two":[75],"architectures:":[77],"partially":[78],"unfolded":[79],"nets":[80],"with":[81,107,119],"max-out":[82],"activations":[83],"bidirectional":[85],"long":[86],"short-term":[87],"memory":[88],"nets.":[89],"In":[90],"addition,":[91],"inspired":[92],"success":[95],"networks":[98,132],"for":[99],"image":[100],"classification,":[101],"we":[102],"designed":[103],"net":[106],"many":[108],"layers":[110],"small":[112],"kernels":[113],"create":[115],"receptive":[117],"field":[118],"more":[120,159],"nonlinearity":[121],"fewer":[123],"parameters":[124],"than":[125],"standard":[126],"configurations.":[127],"When":[128],"combined,":[129],"these":[130],"achieve":[133],"word":[135],"rate":[137,149],"6.2%":[139],"this":[141,144,154,172],"difficult":[142],"task;":[143],"was":[145],"reported":[148],"at":[150],"time":[152],"writing":[155],"even":[158],"remarkable":[160],"given":[161],"human":[163],"itself":[165],"estimated":[167],"4%":[170],"data.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
