{"id":"https://openalex.org/W4321854821","doi":"https://doi.org/10.48550/arxiv.2302.12048","title":"Frequency bin-wise single channel speech presence probability estimation using multiple DNNs","display_name":"Frequency bin-wise single channel speech presence probability estimation using multiple DNNs","publication_year":2023,"publication_date":"2023-02-23","ids":{"openalex":"https://openalex.org/W4321854821","doi":"https://doi.org/10.48550/arxiv.2302.12048"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2302.12048","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.12048","pdf_url":"https://arxiv.org/pdf/2302.12048","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.12048","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007499353","display_name":"Shuai Tao","orcid":"https://orcid.org/0000-0003-2223-0205"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tao, Shuai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078791449","display_name":"Himavanth Reddy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reddy, Himavanth","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041263382","display_name":"Jesper Rindom Jensen","orcid":"https://orcid.org/0000-0001-6023-8270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jensen, Jesper Rindom","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026658144","display_name":"Mads Gr\u00e6sb\u00f8ll Christensen","orcid":"https://orcid.org/0000-0003-3586-7969"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christensen, Mads Gr\u00e6sb\u00f8ll","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007499353"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973999857902527,"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":0.9722999930381775,"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/bin","display_name":"Bin","score":0.7669789791107178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7435662746429443},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6624528169631958},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5683189630508423},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5299637913703918},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5181290507316589},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5148719549179077},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.47329798340797424},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.46906113624572754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46096962690353394},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4313722550868988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3810308575630188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3618883192539215},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.17729169130325317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17568522691726685},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1359069049358368},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07511195540428162}],"concepts":[{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.7669789791107178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435662746429443},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6624528169631958},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5683189630508423},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5299637913703918},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5181290507316589},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5148719549179077},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.47329798340797424},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.46906113624572754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46096962690353394},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4313722550868988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3810308575630188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3618883192539215},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.17729169130325317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17568522691726685},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1359069049358368},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07511195540428162},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2302.12048","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.12048","pdf_url":"https://arxiv.org/pdf/2302.12048","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/11bb5a28-a0cf-4f10-995b-0ec6d600efac","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/11bb5a28-a0cf-4f10-995b-0ec6d600efac","pdf_url":"https://arxiv.org/pdf/2302.12048.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tao , S , Reddy , H , Jensen , J R & Christensen , M G 2023 , Frequency bin-wise single channel speech presence probability estimation using multiple DNNs . in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . , 10096321 , IEEE , I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings , pp. 1-5 , 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023 , Rhodes Island , Greece , 04/06/2023 . https://doi.org/10.1109/ICASSP49357.2023.10096321","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.2302.12048","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2302.12048","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.12048","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.12048","pdf_url":"https://arxiv.org/pdf/2302.12048","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4321854821.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2107701374","https://openalex.org/W2950072893","https://openalex.org/W1616588898","https://openalex.org/W4249504934","https://openalex.org/W2183416055","https://openalex.org/W2568867011","https://openalex.org/W1994114538","https://openalex.org/W2413205705","https://openalex.org/W2735644334","https://openalex.org/W138879321"],"abstract_inverted_index":{"In":[0,83],"this":[1],"work,":[2],"we":[3,62,125,132],"propose":[4],"a":[5,64,90],"frequency":[6,31,66,73,128],"bin-wise":[7,129],"method":[8,138],"to":[9,77,97],"estimate":[10],"the":[11,24,52,56,59,85,89,106,117,127,142],"single-channel":[12],"speech":[13,87,118,150],"presence":[14],"probability":[15,92],"(SPP)":[16],"with":[17],"multiple":[18],"deep":[19],"neural":[20],"networks":[21],"(DNNs)":[22],"in":[23,147],"short-time":[25],"Fourier":[26],"transform":[27],"domain.":[28],"Since":[29],"all":[30],"bins":[32,74],"are":[33,95],"typically":[34],"considered":[35],"simultaneously":[36],"as":[37],"input":[38],"features":[39],"for":[40],"conventional":[41],"DNN-based":[42],"SPP":[43,93,144],"estimators,":[44],"high":[45],"model":[46,53,154],"complexity":[47,54],"is":[48],"inevitable.":[49],"To":[50],"reduce":[51],"and":[55,68,88,153],"requirements":[57],"on":[58,105],"training":[60],"data,":[61],"take":[63],"single":[65],"bin":[67],"some":[69],"of":[70,141,149],"its":[71],"neighboring":[72],"into":[75],"account":[76],"train":[78,98],"separate":[79],"gate":[80],"recurrent":[81],"units.":[82],"addition,":[84],"noisy":[86],"posteriori":[91],"representation":[94],"used":[96],"our":[99,136],"model.":[100,130],"The":[101,112],"experiments":[102],"were":[103],"performed":[104],"Deep":[107],"Noise":[108],"Suppression":[109],"challenge":[110],"dataset.":[111],"experimental":[113],"results":[114],"show":[115],"that":[116,135],"detection":[119,151],"accuracy":[120,152],"can":[121],"be":[122],"improved":[123],"when":[124],"employ":[126],"Finally,":[131],"also":[133],"demonstrate":[134],"proposed":[137],"outperforms":[139],"most":[140],"state-of-the-art":[143],"estimation":[145],"methods":[146],"terms":[148],"complexity.":[155]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}