{"id":"https://openalex.org/W2086754356","doi":"https://doi.org/10.1109/icassp.2014.6854678","title":"Lattice based optimization of bottleneck feature extractor with linear transformation","display_name":"Lattice based optimization of bottleneck feature extractor with linear transformation","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2086754356","doi":"https://doi.org/10.1109/icassp.2014.6854678","mag":"2086754356"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5060287819","display_name":"Diyuan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Diyuan Liu","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050660824","display_name":"Si Wei","orcid":"https://orcid.org/0009-0009-5748-699X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Si Wei","raw_affiliation_strings":["iFlytek Research, Anhui USTC iFlytek Co., Ltd., Hefei, Anhui, P. R. China","iFlytek Res., Anhui USTC iFlytek Co., Ltd., Hefei, China"],"affiliations":[{"raw_affiliation_string":"iFlytek Research, Anhui USTC iFlytek Co., Ltd., Hefei, Anhui, P. R. China","institution_ids":[]},{"raw_affiliation_string":"iFlytek Res., Anhui USTC iFlytek Co., Ltd., Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101085190","display_name":"Wu Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Guo","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024444797","display_name":"Yebo Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yebo Bao","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021081307","display_name":"Shifu Xiong","orcid":"https://orcid.org/0000-0003-4759-147X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifu Xiong","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057227915","display_name":"Li-Rong Dai","orcid":"https://orcid.org/0000-0002-0859-2827"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Dai","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Nat. Eng. Lab. for Speech & Language Inf. Process., Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060287819"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.6361,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87557471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"5617","last_page":"5621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9943000078201294,"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/T10320","display_name":"Neural Networks and Applications","score":0.9943000078201294,"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":0.991599977016449,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/bottleneck","display_name":"Bottleneck","score":0.8726209402084351},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.7235075235366821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6982886791229248},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6110413670539856},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5835313200950623},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5415816903114319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44918665289878845},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.44874873757362366},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4241294264793396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3903217315673828},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35902369022369385},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12731844186782837}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8726209402084351},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.7235075235366821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6982886791229248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6110413670539856},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5835313200950623},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5415816903114319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44918665289878845},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.44874873757362366},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4241294264793396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3903217315673828},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35902369022369385},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12731844186782837},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W11553578","https://openalex.org/W217970951","https://openalex.org/W2012897754","https://openalex.org/W2016084804","https://openalex.org/W2019125718","https://openalex.org/W2100495367","https://openalex.org/W2105099419","https://openalex.org/W2106051978","https://openalex.org/W2112739286","https://openalex.org/W2114016253","https://openalex.org/W2115439799","https://openalex.org/W2123237149","https://openalex.org/W2125234026","https://openalex.org/W2125610823","https://openalex.org/W2147768505","https://openalex.org/W2150907703","https://openalex.org/W2158289097","https://openalex.org/W2158808283","https://openalex.org/W2164115090","https://openalex.org/W2396630453","https://openalex.org/W2403195671","https://openalex.org/W2406513788","https://openalex.org/W6675793180","https://openalex.org/W6682398751","https://openalex.org/W6683953266","https://openalex.org/W6711808165"],"related_works":["https://openalex.org/W2115605526","https://openalex.org/W3093883775","https://openalex.org/W1539246760","https://openalex.org/W2786746258","https://openalex.org/W4225893763","https://openalex.org/W2788727425","https://openalex.org/W2405196115","https://openalex.org/W2104893957","https://openalex.org/W2971074373","https://openalex.org/W3159389381"],"abstract_inverted_index":{"This":[0,68],"paper":[1],"proposes":[2],"a":[3,63,126],"lattice-based":[4],"sequential":[5,40],"discriminative":[6,12],"training":[7,99],"method":[8,58,141],"to":[9,62,100,117,148,155],"extract":[10],"more":[11,121],"bottleneck":[13,19,35,49],"features.":[14],"In":[15],"our":[16],"method,":[17],"the":[18,32,43,46,53,56,71,77,83,87,98,114,119,131,136,139,143,151],"neural":[20,79,88],"network":[21,89],"is":[22,59,90],"first":[23],"trained":[24],"with":[25,39,92,113,142],"cross":[26],"entropy":[27],"criteria,":[28],"and":[29,85,130,150],"then":[30],"only":[31],"weights":[33],"of":[34,45,138],"layer":[36,47],"are":[37,50],"retrained":[38,91],"criteria.":[41],"If":[42],"outputs":[44],"before":[48],"treated":[51],"as":[52],"raw":[54],"features,":[55],"new":[57],"an":[60],"equivalent":[61],"linear":[64],"feature":[65],"transformation":[66],"algorithm.":[67],"linearity":[69],"makes":[70],"optimization":[72,109,120],"much":[73],"easier":[74],"than":[75],"updating":[76],"whole":[78],"network.":[80],"Just":[81],"like":[82],"fMPE":[84],"RDLT,":[86],"batch":[93,107],"mode":[94,108],"gradient":[95,116],"descent,":[96],"making":[97],"be":[101],"easily":[102],"implemented":[103],"in":[104],"parallel.":[105],"Meanwhile,":[106],"can":[110],"naturally":[111],"deal":[112],"indirect":[115],"make":[118],"precise.":[122],"Experimental":[123],"results":[124],"on":[125],"Mandarin":[127],"transcription":[128],"task":[129,133],"Switchboard":[132],"have":[134],"shown":[135],"effectiveness":[137],"proposed":[140],"CER":[144],"decreases":[145],"from":[146,153],"12.2%":[147],"11.3%":[149],"WER":[152],"16.1%":[154],"15.0%,":[156],"respectively.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
