{"id":"https://openalex.org/W2767554854","doi":"https://doi.org/10.1109/icassp.2018.8462015","title":"Learning Filterbanks from Raw Speech for Phone Recognition","display_name":"Learning Filterbanks from Raw Speech for Phone Recognition","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2767554854","doi":"https://doi.org/10.1109/icassp.2018.8462015","mag":"2767554854"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.01161","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047639590","display_name":"Neil Zeghidour","orcid":"https://orcid.org/0000-0001-6896-3987"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Zeghidour","raw_affiliation_strings":["Facebook A.I. Research, Paris, New York, France, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook A.I. Research, Paris, New York, France, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084360449","display_name":"Nicolas Usunier","orcid":"https://orcid.org/0000-0002-9324-1457"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas Usunier","raw_affiliation_strings":["Facebook A.I. Research, Paris, New York, France, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook A.I. Research, Paris, New York, France, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077035803","display_name":"Iasonas Kokkinos","orcid":"https://orcid.org/0000-0002-2606-6476"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iasonas Kokkinos","raw_affiliation_strings":["Facebook A.I. Research, Paris, New York, France, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook A.I. Research, Paris, New York, France, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110391017","display_name":"Thomas Schatz","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I90669466","display_name":"\u00c9cole des hautes \u00e9tudes en sciences sociales","ror":"https://ror.org/02d9dg697","country_code":"FR","type":"facility","lineage":["https://openalex.org/I90669466"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Schaiz","raw_affiliation_strings":["CoML, ENS/CNRS/EHESS/INRIA/PSL Research University, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CoML, ENS/CNRS/EHESS/INRIA/PSL Research University, Paris, France","institution_ids":["https://openalex.org/I90669466","https://openalex.org/I1326498283","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041907084","display_name":"Gabriel Synnaeve","orcid":"https://orcid.org/0000-0003-1715-3356"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabriel Synnaeve","raw_affiliation_strings":["Facebook A.I. Research, Paris, New York, France, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook A.I. Research, Paris, New York, France, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007620149","display_name":"Emmanuel Dupoux","orcid":"https://orcid.org/0000-0002-7814-2952"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I90669466","display_name":"\u00c9cole des hautes \u00e9tudes en sciences sociales","ror":"https://ror.org/02d9dg697","country_code":"FR","type":"facility","lineage":["https://openalex.org/I90669466"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emmanuel Dupoux","raw_affiliation_strings":["CoML, ENS/CNRS/EHESS/INRIA/PSL Research University, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CoML, ENS/CNRS/EHESS/INRIA/PSL Research University, Paris, France","institution_ids":["https://openalex.org/I90669466","https://openalex.org/I1326498283","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5069,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72422733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5509","last_page":"5513"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753198504447937},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.7318490743637085},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7083473205566406},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6493951082229614},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5581240057945251},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5406254529953003},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5323282480239868},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.4616125822067261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41101551055908203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.408832848072052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25450968742370605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1764533519744873},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.1419101059436798},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1183944046497345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753198504447937},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.7318490743637085},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7083473205566406},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6493951082229614},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5581240057945251},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5406254529953003},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5323282480239868},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.4616125822067261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41101551055908203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.408832848072052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25450968742370605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1764533519744873},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.1419101059436798},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1183944046497345},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icassp.2018.8462015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1711.01161","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.01161","pdf_url":"https://arxiv.org/pdf/1711.01161","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2767554854","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1711.01161.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10060972","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/10060972/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).  (pp. pp. 5509-5513).  IEEE (2018)     ","raw_type":"Proceedings paper"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10074875","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10074875/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).  (pp. pp. 5509-5513).  IEEE: Calgary, Canada. (2018)     ","raw_type":"Proceedings paper"},{"id":"doi:10.48550/arxiv.1711.01161","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1711.01161","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.01161","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.01161","pdf_url":"https://arxiv.org/pdf/1711.01161","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2077798120","display_name":null,"funder_award_id":"ANR-10-IDEX-","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2169153225","display_name":null,"funder_award_id":"ANR-10-IDEX-0001-02 PSL","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2614703714","display_name":null,"funder_award_id":"ANR-10-IDEX-0001-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2658974192","display_name":"Paris Sciences et Lettres","funder_award_id":"ANR-10-IDEX-0001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2871517121","display_name":null,"funder_award_id":"10-IDEX-0001-02 PSL","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G3860367528","display_name":null,"funder_award_id":"10-IDEX-0001-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G471331628","display_name":null,"funder_award_id":"ANR-10-IDEX","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5397893844","display_name":"Institute of Cognitive Studies of Ecole normale superieure","funder_award_id":"ANR-10-LABX-0087","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7133573516","display_name":null,"funder_award_id":"10-LABX-0087 IEC","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7240651115","display_name":null,"funder_award_id":"ANR-10","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7309063776","display_name":null,"funder_award_id":"10-LABX-0087","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G782245399","display_name":null,"funder_award_id":"IDEX-0001-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8158189035","display_name":null,"funder_award_id":"ANR-10-LABX-0087 IEC","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2767554854.pdf","grobid_xml":"https://content.openalex.org/works/W2767554854.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W854541894","https://openalex.org/W1542280630","https://openalex.org/W1634752325","https://openalex.org/W1677182931","https://openalex.org/W1799366690","https://openalex.org/W2026795768","https://openalex.org/W2093231248","https://openalex.org/W2095705004","https://openalex.org/W2112796928","https://openalex.org/W2123811694","https://openalex.org/W2125496931","https://openalex.org/W2133285226","https://openalex.org/W2148154194","https://openalex.org/W2154833897","https://openalex.org/W2163605009","https://openalex.org/W2291022022","https://openalex.org/W2398826216","https://openalex.org/W2400549570","https://openalex.org/W2516608830","https://openalex.org/W2520160253","https://openalex.org/W2533523411","https://openalex.org/W2760599032","https://openalex.org/W2949382160","https://openalex.org/W3127686677"],"related_works":["https://openalex.org/W2808998745","https://openalex.org/W3124414150","https://openalex.org/W1987510030","https://openalex.org/W606219753","https://openalex.org/W3089432592","https://openalex.org/W2975176027","https://openalex.org/W2964052309","https://openalex.org/W2903799412","https://openalex.org/W2935891278","https://openalex.org/W1952570213","https://openalex.org/W3024786082","https://openalex.org/W2950705786","https://openalex.org/W3003766820","https://openalex.org/W3095913803","https://openalex.org/W2097944122","https://openalex.org/W3092832084","https://openalex.org/W2547335510","https://openalex.org/W2791833049","https://openalex.org/W3198995983","https://openalex.org/W2153263577"],"abstract_inverted_index":{"We":[0,45,71],"train":[1],"a":[2,17],"bank":[3],"of":[4,34,102],"complex":[5],"filters":[6,91],"that":[7,54,89,100],"operates":[8],"on":[9,50,60,68],"the":[10,41,90],"raw":[11],"waveform":[12],"and":[13,36,52,99],"is":[14],"fed":[15],"into":[16],"convolutional":[18,43],"neural":[19],"network":[20],"for":[21,55],"end-to-end":[22],"phone":[23,47],"recognition.":[24],"These":[25],"time-domain":[26],"filterbanks":[27,62],"(TD-filterbanks)":[28],"are":[29],"initialized":[30],"as":[31],"an":[32,95],"approximation":[33],"mel-filterbanks,":[35],"then":[37],"fine-tuned":[38],"jointly":[39],"with":[40],"remaining":[42],"architecture.":[44],"perform":[46],"recognition":[48],"experiments":[49],"TIMIT":[51],"show":[53],"several":[56],"architectures,":[57],"models":[58],"trained":[59,67],"TD-":[61],"consistently":[63],"outperform":[64],"their":[65],"counterparts":[66],"comparable":[69],"mel-filterbanks.":[70],"get":[72],"our":[73],"best":[74],"performance":[75],"by":[76],"learning":[77],"all":[78],"front-end":[79],"steps,":[80],"from":[81],"pre-emphasis":[82],"up":[83],"to":[84],"averaging.":[85],"Finally,":[86],"we":[87],"observe":[88],"at":[92],"convergence":[93],"have":[94],"asymmetric":[96],"impulse":[97],"response,":[98],"some":[101],"them":[103],"remain":[104],"almost":[105],"analytic.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}