{"id":"https://openalex.org/W3015999738","doi":"https://doi.org/10.1109/ncc48643.2020.9056089","title":"Significance of Phase in DNN based speech enhancement algorithms","display_name":"Significance of Phase in DNN based speech enhancement algorithms","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3015999738","doi":"https://doi.org/10.1109/ncc48643.2020.9056089","mag":"3015999738"},"language":"en","primary_location":{"id":"doi:10.1109/ncc48643.2020.9056089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","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/A5023712901","display_name":"Pankaj Rani","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Swetha Rani","raw_affiliation_strings":["Speech Information Processing Lab, Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,INDIA,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Information Processing Lab, Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,INDIA,502285","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067213169","display_name":"Sivaganesh Andhavarapu","orcid":"https://orcid.org/0000-0003-4782-232X"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sivaganesh Andhavarapu","raw_affiliation_strings":["Speech Information Processing Lab, Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,INDIA,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Information Processing Lab, Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,INDIA,502285","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sri Rama Murty Kodukula","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sri Rama Murty Kodukula","raw_affiliation_strings":["Speech Information Processing Lab, Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,INDIA,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Information Processing Lab, Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,INDIA,502285","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.8216,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70586462,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987999796867371,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9973999857902527,"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/speech-enhancement","display_name":"Speech enhancement","score":0.7081195116043091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6672332286834717},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5644354224205017},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5452641844749451},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.5391877293586731},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4810757637023926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46581318974494934},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4607570767402649},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4568723738193512},{"id":"https://openalex.org/keywords/magnitude","display_name":"Magnitude (astronomy)","score":0.45064952969551086},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4431456923484802},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.42157506942749023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4155113399028778},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36568716168403625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23207417130470276},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.22059980034828186},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1796908676624298},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.16763341426849365},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12041336297988892},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10847219824790955}],"concepts":[{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7081195116043091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6672332286834717},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5644354224205017},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5452641844749451},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.5391877293586731},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4810757637023926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46581318974494934},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4607570767402649},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4568723738193512},{"id":"https://openalex.org/C126691448","wikidata":"https://www.wikidata.org/wiki/Q2028919","display_name":"Magnitude (astronomy)","level":2,"score":0.45064952969551086},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4431456923484802},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.42157506942749023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4155113399028778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36568716168403625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23207417130470276},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.22059980034828186},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1796908676624298},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.16763341426849365},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12041336297988892},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10847219824790955},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ncc48643.2020.9056089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:raiith.iith.ac.in:7774","is_oa":false,"landing_page_url":"http://raiith.iith.ac.in/7774/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400292","display_name":"Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65181880","host_organization_name":"Indian Institute of Technology Hyderabad","host_organization_lineage":["https://openalex.org/I65181880"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1971016029","https://openalex.org/W1983108229","https://openalex.org/W1995536493","https://openalex.org/W2042407743","https://openalex.org/W2069681747","https://openalex.org/W2087034207","https://openalex.org/W2094721231","https://openalex.org/W2118594870","https://openalex.org/W2120847449","https://openalex.org/W2121973264","https://openalex.org/W2144404214","https://openalex.org/W2152859600","https://openalex.org/W2291877678","https://openalex.org/W2408744528","https://openalex.org/W2802304149","https://openalex.org/W2962866211","https://openalex.org/W2963341071","https://openalex.org/W2964121744","https://openalex.org/W2981497094","https://openalex.org/W3028163228","https://openalex.org/W3147539069"],"related_works":["https://openalex.org/W2376418092","https://openalex.org/W2072983018","https://openalex.org/W1016952678","https://openalex.org/W2257644995","https://openalex.org/W1513444457","https://openalex.org/W4311345787","https://openalex.org/W2188141918","https://openalex.org/W3185336960","https://openalex.org/W2042652790","https://openalex.org/W2402466562"],"abstract_inverted_index":{"Most":[0],"of":[1,12,19,32,38,64,86,110,134],"the":[2,9,13,20,36,39,51,54,62,71,87,107,111,122,128,132,136],"speech":[3,15,22,67,112,140],"enhancement":[4],"algorithms":[5],"rely":[6],"on":[7],"estimating":[8],"magnitude":[10,56,96,108],"spectrum":[11,109],"clean":[14],"signal":[16,23],"from":[17,53,74],"that":[18,85,118],"noisy":[21,45,137],"using":[24,101],"either":[25],"spectral":[26,29,95],"regression":[27],"or":[28],"masking.":[30],"Because":[31],"difficulty":[33],"in":[34,66,126,139],"processing":[35],"phase":[37,46,65,72,89,120,123,138],"short":[40],"time":[41],"Fourier":[42],"transform":[43],"(STFT),":[44],"is":[47,99],"reused":[48],"while":[49],"synthesizing":[50],"waveform":[52],"enhanced":[55],"spectrum.":[57],"In":[58,92],"order":[59],"to":[60,105],"demonstrate":[61],"significance":[63,133],"enhancement,":[68],"we":[69],"compare":[70],"obtained":[73],"different":[75],"reconstruction":[76,124],"methods,":[77],"like":[78],"Griffin":[79],"and":[80],"Lim,":[81],"minimum":[82],"phase,":[83],"with":[84],"gold":[88,119],"(clean":[90],"phase).":[91],"this":[93],"work,":[94],"mask":[97],"(SMM)":[98],"estimated":[100],"deep":[102],"neural":[103],"networks":[104],"enhance":[106],"signal.":[113],"The":[114],"experimental":[115],"results":[116],"showed":[117],"outperforms":[121],"methods":[125],"all":[127],"objective":[129],"measures,":[130],"illustrating":[131],"enhancing":[135],"enhancement.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
