{"id":"https://openalex.org/W2513415105","doi":"https://doi.org/10.21437/interspeech.2016-731","title":"Realistic Multi-Microphone Data Simulation for Distant Speech Recognition","display_name":"Realistic Multi-Microphone Data Simulation for Distant Speech Recognition","publication_year":2016,"publication_date":"2016-08-29","ids":{"openalex":"https://openalex.org/W2513415105","doi":"https://doi.org/10.21437/interspeech.2016-731","mag":"2513415105"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2016-731","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.09470","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040811098","display_name":"Mirco Ravanelli","orcid":"https://orcid.org/0000-0002-3929-5526"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirco Ravanelli","raw_affiliation_strings":["Fondazione Bruno Kessler, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032052125","display_name":"Piergiorgio Svaizer","orcid":"https://orcid.org/0000-0003-3137-3961"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Piergiorgio Svaizer","raw_affiliation_strings":["Fondazione Bruno Kessler, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025736898","display_name":"Maurizio Omologo","orcid":"https://orcid.org/0000-0003-0879-0548"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Omologo","raw_affiliation_strings":["Fondazione Bruno Kessler, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":0.1941,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48081734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2786","last_page":"2790"},"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":0.9994999766349792,"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":0.8328733444213867},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.6864892840385437},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6437538862228394},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5776219367980957},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5495336651802063},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5483170747756958},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5306222438812256},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5160736441612244},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4785652458667755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36709877848625183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.336273193359375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3350282311439514},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3262156844139099},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07225748896598816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8328733444213867},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.6864892840385437},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6437538862228394},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5776219367980957},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5495336651802063},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5483170747756958},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5306222438812256},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5160736441612244},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4785652458667755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36709877848625183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.336273193359375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3350282311439514},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3262156844139099},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07225748896598816},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.21437/interspeech.2016-731","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1711.09470","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.09470","pdf_url":"https://arxiv.org/pdf/1711.09470","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},{"id":"mag:2513415105","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1711.09470.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:iris.unitn.it:11572/170464","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/170464","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/book"},{"id":"doi:10.48550/arxiv.1711.09470","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1711.09470","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},{"id":"doi:10.57702/57c8zcfh","is_oa":true,"landing_page_url":"https://doi.org/10.57702/57c8zcfh","pdf_url":null,"source":{"id":"https://openalex.org/S7407053387","display_name":"TIB Data Manager","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Dataset"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.09470","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.09470","pdf_url":"https://arxiv.org/pdf/1711.09470","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2513415105.pdf","grobid_xml":"https://content.openalex.org/works/W2513415105.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W21300200","https://openalex.org/W285277413","https://openalex.org/W1495086638","https://openalex.org/W1524333225","https://openalex.org/W1539145387","https://openalex.org/W1562784283","https://openalex.org/W1569827162","https://openalex.org/W1989314204","https://openalex.org/W1990835870","https://openalex.org/W2023884159","https://openalex.org/W2026063171","https://openalex.org/W2039285212","https://openalex.org/W2046317813","https://openalex.org/W2067584370","https://openalex.org/W2070707809","https://openalex.org/W2145982029","https://openalex.org/W2148495393","https://openalex.org/W2149374737","https://openalex.org/W2184343439","https://openalex.org/W2251255183","https://openalex.org/W2288645994","https://openalex.org/W2289394825","https://openalex.org/W2401439450","https://openalex.org/W2402865896","https://openalex.org/W2407080277","https://openalex.org/W2616139854","https://openalex.org/W2911394281","https://openalex.org/W2963127222","https://openalex.org/W2964067718"],"related_works":["https://openalex.org/W2963064586","https://openalex.org/W2050692148","https://openalex.org/W326886085","https://openalex.org/W2751208088","https://openalex.org/W3197506243","https://openalex.org/W3125154585","https://openalex.org/W2860364001","https://openalex.org/W2962242947","https://openalex.org/W2777284187","https://openalex.org/W2985226029","https://openalex.org/W2105720652","https://openalex.org/W3196183927","https://openalex.org/W3167623166","https://openalex.org/W2055105848","https://openalex.org/W66671240","https://openalex.org/W2331201964","https://openalex.org/W1848745876","https://openalex.org/W2053734768","https://openalex.org/W3032831528","https://openalex.org/W2606815352"],"abstract_inverted_index":{"The":[0,19],"availability":[1],"of":[2,7,14,26,45,52,82,118,142],"realistic":[3,143],"simulated":[4,66,125,169],"corpora":[5,67,144],"is":[6],"key":[8],"importance":[9],"for":[10,104],"the":[11,49,58,62,72,76,80,108,116,140],"future":[12],"progress":[13],"distant":[15],"speech":[16],"recognition":[17,173],"technology.":[18],"reliability,":[20],"flexibility":[21],"and":[22,38,84,90,100,124,134,168],"low":[23],"computational":[24],"cost":[25],"a":[27,43,119,146,153,158],"data":[28,56,170],"simulation":[29],"process":[30],"may":[31],"ultimately":[32],"allow":[33],"researchers":[34],"to":[35,71,97,139],"train,":[36],"tune":[37],"test":[39],"different":[40,172],"techniques":[41],"in":[42,79,111,145,152],"variety":[44],"acoustic":[46,175],"scenarios,":[47],"avoiding":[48],"laborious":[50],"effort":[51],"directly":[53],"recording":[54],"real":[55,123,167],"from":[57],"targeted":[59],"environment.":[60],"In":[61,127],"last":[63],"decade,":[64],"several":[65],"have":[68],"been":[69],"released":[70],"research":[73],"community,":[74],"including":[75],"data-sets":[77],"distributed":[78],"context":[81],"projects":[83],"international":[85],"challenges,":[86],"such":[87],"as":[88,177,179],"CHiME":[89],"REVERB.":[91],"These":[92],"efforts":[93],"were":[94],"extremely":[95],"useful":[96],"derive":[98],"baselines":[99],"common":[101],"evaluation":[102],"frameworks":[103],"comparison":[105],"purposes.":[106],"At":[107],"same":[109],"time,":[110],"many":[112],"cases":[113],"they":[114],"highlighted":[115],"need":[117],"better":[120],"coherence":[121],"between":[122],"conditions.":[126],"this":[128,132],"paper,":[129],"we":[130,135],"examine":[131],"issue":[133],"describe":[136],"our":[137],"approach":[138],"generation":[141],"domestic":[147],"context.":[148],"Experimental":[149],"validation,":[150],"conducted":[151],"multi-microphone":[154,180],"scenario,":[155],"shows":[156],"that":[157],"comparable":[159],"performance":[160],"trend":[161],"can":[162],"be":[163],"observed":[164],"with":[165],"both":[166],"across":[171],"frameworks,":[174],"models,":[176],"well":[178],"processing":[181],"techniques.":[182]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}