{"id":"https://openalex.org/W2059314128","doi":"https://doi.org/10.1109/rivf.2013.6719885","title":"Optimizing deep bottleneck feature extraction","display_name":"Optimizing deep bottleneck feature extraction","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2059314128","doi":"https://doi.org/10.1109/rivf.2013.6719885","mag":"2059314128"},"language":"en","primary_location":{"id":"doi:10.1109/rivf.2013.6719885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2013.6719885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","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/A5001160212","display_name":"Qu\u1ed1c B\u1ea3o Nguy\u1ec5n","orcid":"https://orcid.org/0000-0001-8172-8578"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Quoc Bao Nguyen","raw_affiliation_strings":["International Center for Advanced Communication Technologies - InterACT, Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","Int. Center for Adv. Commun. Technol. - InterACT, Karlsruhe Inst. of Technol., Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Advanced Communication Technologies - InterACT, Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Int. Center for Adv. Commun. Technol. - InterACT, Karlsruhe Inst. of Technol., Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069183549","display_name":"Jonas Gehring","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonas Gehring","raw_affiliation_strings":["International Center for Advanced Communication Technologies - InterACT, Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","Int. Center for Adv. Commun. Technol. - InterACT, Karlsruhe Inst. of Technol., Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Advanced Communication Technologies - InterACT, Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Int. Center for Adv. Commun. Technol. - InterACT, Karlsruhe Inst. of Technol., Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034910585","display_name":"Kevin Kilgour","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kevin Kilgour","raw_affiliation_strings":["International Center for Advanced Communication Technologies - InterACT, Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","Int. Center for Adv. Commun. Technol. - InterACT, Karlsruhe Inst. of Technol., Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Advanced Communication Technologies - InterACT, Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Int. Center for Adv. Commun. Technol. - InterACT, Karlsruhe Inst. of Technol., Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110453805","display_name":"Alex Waibel","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alex Waibel","raw_affiliation_strings":["International Center for Advanced Communication Technologies - InterACT, Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","Int. Center for Adv. Commun. Technol. - InterACT, Karlsruhe Inst. of Technol., Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Advanced Communication Technologies - InterACT, Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Int. Center for Adv. Commun. Technol. - InterACT, Karlsruhe Inst. of Technol., Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":2.0428,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88258212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"152","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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":0.9980000257492065,"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":0.9979000091552734,"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":0.8576856255531311},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7332595586776733},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.7135265469551086},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.684677004814148},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.54266756772995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49720147252082825},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4916530251502991},{"id":"https://openalex.org/keywords/telephony","display_name":"Telephony","score":0.47895413637161255},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45833900570869446},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4567791521549225},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4547698497772217},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44060513377189636},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.427661657333374},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37281155586242676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8576856255531311},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7332595586776733},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.7135265469551086},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.684677004814148},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.54266756772995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49720147252082825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4916530251502991},{"id":"https://openalex.org/C195358072","wikidata":"https://www.wikidata.org/wiki/Q944584","display_name":"Telephony","level":2,"score":0.47895413637161255},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45833900570869446},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4567791521549225},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4547698497772217},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44060513377189636},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.427661657333374},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37281155586242676},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/rivf.2013.6719885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2013.6719885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1970088388","https://openalex.org/W1975138161","https://openalex.org/W2012897754","https://openalex.org/W2025768430","https://openalex.org/W2078031782","https://openalex.org/W2105099419","https://openalex.org/W2110798204","https://openalex.org/W2123237149","https://openalex.org/W2134756243","https://openalex.org/W2136922672","https://openalex.org/W2138857742","https://openalex.org/W2139737683","https://openalex.org/W2144792281","https://openalex.org/W2147768505","https://openalex.org/W2163605009","https://openalex.org/W2394932179","https://openalex.org/W2397736346","https://openalex.org/W2606321545","https://openalex.org/W2618530766","https://openalex.org/W6600949241","https://openalex.org/W6676481782","https://openalex.org/W6680300913","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W2748922771","https://openalex.org/W2146867217"],"abstract_inverted_index":{"We":[0,21],"investigate":[1],"several":[2,77],"optimizations":[3,93],"to":[4,24,41,44,65],"a":[5,32,48],"recently":[6],"published":[7],"architecture":[8],"for":[9,13],"extracting":[10],"bottleneck":[11],"features":[12],"large-vocabulary":[14],"speech":[15,52,87],"recognition":[16,26],"with":[17],"deep":[18],"neural":[19],"networks.":[20],"are":[22,95],"able":[23],"improve":[25],"performance":[27],"of":[28],"first-pass":[29],"systems":[30],"from":[31],"12%":[33],"relative":[34],"word":[35],"error":[36],"rate":[37,73],"reduction":[38],"reported":[39],"previously":[40],"21%,":[42],"compared":[43],"MFCC":[45],"baselines":[46],"on":[47,81,102],"Tagalog":[49],"conversational":[50],"telephone":[51],"corpus.":[53],"This":[54],"is":[55],"achieved":[56],"by":[57],"using":[58],"different":[59],"input":[60],"features,":[61],"training":[62],"the":[63,92],"network":[64],"predict":[66],"context-dependent":[67],"targets,":[68],"employing":[69],"an":[70],"efficient":[71],"learning":[72],"schedule":[74],"and":[75,85,98,106],"varying":[76],"architectural":[78],"details.":[79],"Evaluations":[80],"two":[82],"larger":[83],"German":[84],"French":[86],"transcription":[88],"tasks":[89],"show":[90],"that":[91],"proposed":[94],"universally":[96],"applicable":[97],"yield":[99],"comparable":[100],"gains":[101],"other":[103],"corpora":[104],"(19.9%":[105],"22.8%,":[107],"respectively).":[108]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}