{"id":"https://openalex.org/W2963317762","doi":"https://doi.org/10.1109/icassp.2019.8683231","title":"Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective","display_name":"Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2963317762","doi":"https://doi.org/10.1109/icassp.2019.8683231","mag":"2963317762"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101607498","display_name":"Zhong-Qiu Wang","orcid":"https://orcid.org/0000-0002-4204-9430"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong-Qiu Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058209019","display_name":"Ke Tan","orcid":"https://orcid.org/0000-0001-5073-8060"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ke Tan","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051837453","display_name":"DeLiang Wang","orcid":"https://orcid.org/0000-0001-8195-6319"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DeLiang Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, USA","Center for Cognitive and Brain Sciences, The Ohio State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Center for Cognitive and Brain Sciences, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9991000294685364,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9986000061035156,"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/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.6790579557418823},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6333367228507996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6319860816001892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5242705345153809},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5229959487915039},{"id":"https://openalex.org/keywords/monaural","display_name":"Monaural","score":0.5010812282562256},{"id":"https://openalex.org/keywords/trigonometry","display_name":"Trigonometry","score":0.47740450501441956},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.47495174407958984},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.47177791595458984},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.46370938420295715},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46332401037216187},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.4586202800273895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45656734704971313},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.443277508020401},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.43611493706703186},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.42918169498443604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2546452283859253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20872119069099426},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.16320645809173584}],"concepts":[{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.6790579557418823},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6333367228507996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6319860816001892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5242705345153809},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5229959487915039},{"id":"https://openalex.org/C102894143","wikidata":"https://www.wikidata.org/wiki/Q1323979","display_name":"Monaural","level":2,"score":0.5010812282562256},{"id":"https://openalex.org/C29001434","wikidata":"https://www.wikidata.org/wiki/Q8084","display_name":"Trigonometry","level":2,"score":0.47740450501441956},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.47495174407958984},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.47177791595458984},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.46370938420295715},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46332401037216187},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.4586202800273895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45656734704971313},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.443277508020401},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.43611493706703186},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.42918169498443604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2546452283859253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20872119069099426},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.16320645809173584},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":50,"referenced_works":["https://openalex.org/W1482149378","https://openalex.org/W1536373746","https://openalex.org/W1552314771","https://openalex.org/W1901129140","https://openalex.org/W2006129368","https://openalex.org/W2007115401","https://openalex.org/W2069681747","https://openalex.org/W2093214668","https://openalex.org/W2095072097","https://openalex.org/W2120847449","https://openalex.org/W2127851351","https://openalex.org/W2156379660","https://openalex.org/W2168379380","https://openalex.org/W2221409856","https://openalex.org/W2291877678","https://openalex.org/W2345844407","https://openalex.org/W2401387233","https://openalex.org/W2460742184","https://openalex.org/W2609317876","https://openalex.org/W2696383692","https://openalex.org/W2698117193","https://openalex.org/W2734774145","https://openalex.org/W2735663686","https://openalex.org/W2774707525","https://openalex.org/W2794289187","https://openalex.org/W2874689226","https://openalex.org/W2881244050","https://openalex.org/W2889286744","https://openalex.org/W2889442120","https://openalex.org/W2890820256","https://openalex.org/W2891405874","https://openalex.org/W2892365986","https://openalex.org/W2894785362","https://openalex.org/W2962715207","https://openalex.org/W2962866211","https://openalex.org/W2962905190","https://openalex.org/W2962935966","https://openalex.org/W2963975282","https://openalex.org/W2964171275","https://openalex.org/W3098473349","https://openalex.org/W3124972797","https://openalex.org/W6629014544","https://openalex.org/W6639824700","https://openalex.org/W6688843265","https://openalex.org/W6740374833","https://openalex.org/W6745149982","https://openalex.org/W6746914816","https://openalex.org/W6753067400","https://openalex.org/W6753855596","https://openalex.org/W6754743415"],"related_works":["https://openalex.org/W2980984853","https://openalex.org/W2326454079","https://openalex.org/W564939545","https://openalex.org/W2533590149","https://openalex.org/W3167466058","https://openalex.org/W2560154230","https://openalex.org/W2029494570","https://openalex.org/W2964898233","https://openalex.org/W2129331087","https://openalex.org/W2539126704"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"phase":[3,42,86],"reconstruction":[4],"for":[5,25],"deep":[6],"learning":[7],"based":[8,83],"monaural":[9],"talker-independent":[10],"speaker":[11],"separation":[12],"in":[13,54],"the":[14,40,48,56,76,100],"short-time":[15],"Fourier":[16],"transform":[17],"(STFT)":[18],"domain.":[19],"The":[20],"key":[21],"observation":[22],"is":[23],"that,":[24],"a":[26,37],"mixture":[27,49],"oftwo":[28],"sources,":[29],"with":[30],"their":[31],"magnitudes":[32],"accurately":[33],"estimated":[34],"and":[35,47,91,104],"under":[36],"geometric":[38],"constraint,":[39],"absolute":[41],"difference":[43],"between":[44],"each":[45,60],"source":[46,57],"can":[50,66],"be":[51,67],"uniquely":[52],"determined;":[53],"addition,":[55],"phases":[58],"at":[59],"time-frequency":[61],"T":[62],"-":[63],"F":[64],"unit":[65],"narrowed":[68],"down":[69],"to":[70],"only":[71],"two":[72],"candidates.":[73],"To":[74],"pick":[75],"right":[77],"candidate,":[78],"we":[79],"propose":[80],"three":[81],"algorithms":[82],"on":[84,99],"iterative":[85],"reconstruction,":[87],"group":[88],"delay":[89],"estimation,":[90],"phase-difference":[92],"sign":[93],"prediction.":[94],"State-of-the-art":[95],"results":[96],"are":[97],"obtained":[98],"publicly":[101],"available":[102],"wsj0-2mix":[103],"3":[105],"mix":[106],"corpus.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":13}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}