{"id":"https://openalex.org/W2018026382","doi":"https://doi.org/10.1109/iwaenc.2014.6953357","title":"Generalization of supervised learning for binary mask estimation","display_name":"Generalization of supervised learning for binary mask estimation","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2018026382","doi":"https://doi.org/10.1109/iwaenc.2014.6953357","mag":"2018026382"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2014.6953357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5052043106","display_name":"Tobias May","orcid":"https://orcid.org/0000-0002-5463-5509"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Tobias May","raw_affiliation_strings":["Technical University of Denmark, Centre for Applied Hearing Research, DK - 2800 Kgs. Lyngby, Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Centre for Applied Hearing Research, DK - 2800 Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087022569","display_name":"Timo Gerkmann","orcid":"https://orcid.org/0000-0002-8678-4699"},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timo Gerkmann","raw_affiliation_strings":["Speech Signal Processing Group Cluster of Excellence Hearing4all University of Oldenburg, Germany"],"affiliations":[{"raw_affiliation_string":"Speech Signal Processing Group Cluster of Excellence Hearing4all University of Oldenburg, Germany","institution_ids":["https://openalex.org/I129877168"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.637,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":12,"citation_normalized_percentile":{"value":0.870671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"158"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9982,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.998,"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/ibm","display_name":"IBM","score":0.68166053},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5300156},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.47759247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76593834},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7285811},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.68166053},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6611392},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.60411614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58026236},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5300156},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5100561},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.500932},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48164907},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.47759247},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.4489986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44469053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14654943},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2014.6953357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.58}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":15,"referenced_works":["https://openalex.org/W1963970749","https://openalex.org/W1974387177","https://openalex.org/W2030680983","https://openalex.org/W2051428568","https://openalex.org/W2071387240","https://openalex.org/W2087126002","https://openalex.org/W2111893856","https://openalex.org/W2114218864","https://openalex.org/W2118354544","https://openalex.org/W2135284480","https://openalex.org/W2148154194","https://openalex.org/W2156488408","https://openalex.org/W2166817508","https://openalex.org/W2199505332","https://openalex.org/W3127686677"],"related_works":["https://openalex.org/W4253186488","https://openalex.org/W4231814374","https://openalex.org/W3126131865","https://openalex.org/W2155964760","https://openalex.org/W2099557065","https://openalex.org/W2083611981","https://openalex.org/W2072507639","https://openalex.org/W2044344400","https://openalex.org/W2043380045","https://openalex.org/W1996938127"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,10,33,58,66,71,80,86],"problem":[4],"of":[5,68,88],"speech":[6,47],"segregation":[7],"by":[8],"estimating":[9],"ideal":[11],"binary":[12],"mask":[13],"(IBM)":[14],"from":[15],"noisy":[16],"speech.":[17],"Two":[18],"methods":[19],"will":[20],"be":[21],"compared,":[22],"one":[23],"supervised":[24],"learning":[25],"approach":[26],"that":[27],"incorporates":[28],"a":[29,45],"priori":[30],"knowledge":[31],"about":[32],"feature":[34],"distribution":[35],"observed":[36],"during":[37,62],"training.":[38,63],"The":[39],"second":[40],"method":[41],"solely":[42],"relies":[43],"on":[44,57,79],"frame-based":[46],"presence":[48],"probability":[49],"(SPP)":[50],"es-timation,":[51],"and":[52,77,84],"therefore,":[53],"does":[54],"not":[55],"depend":[56],"acoustic":[59,72],"condition":[60],"seen":[61],"We":[64],"investigate":[65],"influence":[67],"mismatches":[69],"between":[70],"conditions":[73],"used":[74],"for":[75],"training":[76],"testing":[78],"IBM":[81],"estimation":[82],"performance":[83],"discuss":[85],"advantages":[87],"both":[89],"approaches.":[90]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2018026382","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-01-09T06:22:41.945767","created_date":"2016-06-24"}