{"id":"https://openalex.org/W2609069676","doi":"https://doi.org/10.1109/iscslp.2016.7918399","title":"Cluster-based senone selection for the efficient calculation of deep neural network acoustic models","display_name":"Cluster-based senone selection for the efficient calculation of deep neural network acoustic models","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2609069676","doi":"https://doi.org/10.1109/iscslp.2016.7918399","mag":"2609069676"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2016.7918399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2016.7918399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100741940","display_name":"Junhua Liu","orcid":"https://orcid.org/0000-0003-1460-7244"},"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":"Jun-Hua Liu","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, China","Research Department, iFLYTEK Co., LTD., Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Research Department, iFLYTEK Co., LTD., Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059767940","display_name":"Zhen-Hua Ling","orcid":"https://orcid.org/0000-0001-7853-5273"},"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":"Zhen-Hua Ling","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology 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/0000-0002-8363-9111"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Si Wei","raw_affiliation_strings":["Research Department, iFLYTEK Co., LTD., Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Department, iFLYTEK Co., LTD., Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076447478","display_name":"Guoping Hu","orcid":"https://orcid.org/0000-0002-7939-4588"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Ping Hu","raw_affiliation_strings":["Key Laboratory of Ministry of Public Security for Intelligent Speech Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Public Security for Intelligent Speech Technology, Hefei, China","institution_ids":["https://openalex.org/I1302611135"]}]},{"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":"Li-Rong Dai","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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/T11309","display_name":"Music and Audio Processing","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7290900945663452},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6962401270866394},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6525947451591492},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6362487077713013},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6319091320037842},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5982427597045898},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5903376340866089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5647915601730347},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.49085599184036255},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4898636043071747},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4728710353374481},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4652612507343292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4328842759132385},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4244760572910309},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.41536080837249756},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3444264531135559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7290900945663452},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6962401270866394},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6525947451591492},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6362487077713013},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6319091320037842},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5982427597045898},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5903376340866089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5647915601730347},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.49085599184036255},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4898636043071747},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4728710353374481},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4652612507343292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4328842759132385},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4244760572910309},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41536080837249756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3444264531135559},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2016.7918399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2016.7918399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W323109315","https://openalex.org/W330298975","https://openalex.org/W1489125746","https://openalex.org/W1533416326","https://openalex.org/W1984541135","https://openalex.org/W2041823554","https://openalex.org/W2047787988","https://openalex.org/W2058641082","https://openalex.org/W2071515987","https://openalex.org/W2076063813","https://openalex.org/W2084910356","https://openalex.org/W2112984492","https://openalex.org/W2125838338","https://openalex.org/W2147768505","https://openalex.org/W2152084087","https://openalex.org/W2160815625","https://openalex.org/W2170120894","https://openalex.org/W2198724430","https://openalex.org/W2294543795","https://openalex.org/W2296516251","https://openalex.org/W2402040300","https://openalex.org/W2404984879","https://openalex.org/W2963920996","https://openalex.org/W6611117600","https://openalex.org/W6629052376","https://openalex.org/W6696912008","https://openalex.org/W6697811694","https://openalex.org/W6712847557","https://openalex.org/W6713196026"],"related_works":["https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1975321310","https://openalex.org/W1578916557","https://openalex.org/W1992295166","https://openalex.org/W1964286703","https://openalex.org/W2143508933","https://openalex.org/W2169866437","https://openalex.org/W4287183600","https://openalex.org/W4321151651"],"abstract_inverted_index":{"In":[0,27],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,71,141],"cluster-based":[6],"senone":[7,94],"selection":[8,59,95],"method":[9,60],"to":[10,48,84,105,123,156],"speed":[11,145],"up":[12],"the":[13,21,31,37,43,49,57,63,74,77,86,101,110,118,143,147,157],"computation":[14,51],"of":[15,24,34,42,53,73,80,120,146],"deep":[16],"neural":[17],"networks":[18],"(DNN)":[19],"at":[20,36,76,109],"decoding":[22],"time":[23],"speech":[25],"recognition.":[26],"DNN-based":[28],"acoustic":[29,68,102],"models,":[30],"large":[32],"number":[33,119],"senones":[35,75,121],"output":[38,78],"layer":[39,79],"is":[40,97],"one":[41],"main":[44],"causes":[45],"that":[46,117],"lead":[47],"high":[50],"complexity":[52],"DNNs.":[54],"Inspired":[55],"by":[56,99,129,153],"mixture":[58,65],"designed":[61],"for":[62],"Gaussian":[64],"model":[66],"(GMM)-based":[67],"modeling,":[69],"only":[70],"subset":[72],"DNNs":[81],"are":[82],"selected":[83],"calculate":[85],"posterior":[87],"probabilities":[88],"in":[89],"our":[90,137],"proposed":[91,138],"method.":[92,139],"The":[93],"strategy":[96],"derived":[98],"clustering":[100],"inputs":[103],"according":[104],"their":[106],"linear":[107],"outputs":[108],"top":[111],"hidden":[112],"layer.":[113],"Experimental":[114],"results":[115],"show":[116],"need":[122],"be":[124,127,151],"calculated":[125],"can":[126,150],"reduced":[128],"63%":[130],"without":[131],"significant":[132],"performance":[133],"loss":[134],"after":[135],"applying":[136],"As":[140],"result,":[142],"overall":[144],"recognition":[148],"process":[149],"accelerated":[152],"13%":[154],"compared":[155],"baseline.":[158]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
