{"id":"https://openalex.org/W2982059757","doi":"https://doi.org/10.1109/icassp40776.2020.9052970","title":"Impulse Response Data Augmentation and Deep Neural Networks for Blind Room Acoustic Parameter Estimation","display_name":"Impulse Response Data Augmentation and Deep Neural Networks for Blind Room Acoustic Parameter Estimation","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2982059757","doi":"https://doi.org/10.1109/icassp40776.2020.9052970","mag":"2982059757"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9052970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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/A5045694117","display_name":"Nicholas J. Bryan","orcid":"https://orcid.org/0000-0003-1469-7278"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nicholas J. Bryan","raw_affiliation_strings":["Adobe Research, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Francisco, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045694117"],"corresponding_institution_ids":["https://openalex.org/I1306409833"],"apc_list":null,"apc_paid":null,"fwci":5.4225,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97014925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"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/T11309","display_name":"Music 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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8409410715103149},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.7588992714881897},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.6981260776519775},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6909400224685669},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.590300440788269},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.527468204498291},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5131140947341919},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4806296229362488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.462721049785614},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4553036093711853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41609305143356323},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.14510491490364075},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12959447503089905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0735703706741333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409410715103149},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.7588992714881897},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.6981260776519775},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6909400224685669},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.590300440788269},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.527468204498291},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5131140947341919},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4806296229362488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.462721049785614},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4553036093711853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41609305143356323},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.14510491490364075},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12959447503089905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0735703706741333},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9052970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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":33,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1525353496","https://openalex.org/W1530412343","https://openalex.org/W1548586491","https://openalex.org/W1595766596","https://openalex.org/W1917460721","https://openalex.org/W2086381917","https://openalex.org/W2142370513","https://openalex.org/W2180309746","https://openalex.org/W2191779130","https://openalex.org/W2246804954","https://openalex.org/W2398243923","https://openalex.org/W2410879554","https://openalex.org/W2509065397","https://openalex.org/W2696967604","https://openalex.org/W2900429685","https://openalex.org/W2962808638","https://openalex.org/W2964121744","https://openalex.org/W3098357269","https://openalex.org/W4231225162","https://openalex.org/W4294567040","https://openalex.org/W4296927107","https://openalex.org/W4298152313","https://openalex.org/W6631190155","https://openalex.org/W6631587439","https://openalex.org/W6631809054","https://openalex.org/W6635519988","https://openalex.org/W6640103097","https://openalex.org/W6680987062","https://openalex.org/W6690787589","https://openalex.org/W6692983730","https://openalex.org/W6694991879","https://openalex.org/W6712594816"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2037265366","https://openalex.org/W2987432963","https://openalex.org/W2053167664","https://openalex.org/W2079152323","https://openalex.org/W2128388559","https://openalex.org/W2082664169","https://openalex.org/W2140267235","https://openalex.org/W1975973603"],"abstract_inverted_index":{"The":[0],"reverberation":[1],"time":[2,58],"(T60)":[3],"and":[4,57,77,109,136,146],"the":[5,75],"direct-to-reverberant":[6],"ratio":[7],"(DRR)":[8],"are":[9,42],"commonly":[10],"used":[11,43],"to":[12,60,81,141],"characterize":[13],"room":[14],"acoustic":[15,24],"environments.":[16],"Both":[17],"parameters":[18],"can":[19,72,112],"be":[20],"measured":[21],"from":[22,37],"an":[23,67,133],"impulse":[25],"response":[26],"(AIR)":[27],"or":[28,139],"using":[29],"blind":[30,45],"estimation":[31,35],"methods":[32],"that":[33,71,127],"perform":[34],"directly":[36],"speech.":[38],"When":[39],"neural":[40,106],"networks":[41],"for":[44],"estimation,":[46],"however,":[47],"a":[48,83,90,102,121],"large":[49],"realistic":[50],"dataset":[51,85,92],"is":[52,55,128,137],"needed,":[53],"which":[54,131],"expensive":[56],"consuming":[59],"collect.":[61],"To":[62],"address":[63],"this,":[64],"we":[65,100,111],"propose":[66,120],"AIR":[68],"augmentation":[69],"method":[70],"parametrically":[73],"control":[74],"T60":[76],"DRR,":[78],"allowing":[79],"us":[80],"expand":[82],"small":[84],"of":[86,94],"real":[87],"AIRs":[88],"into":[89],"balanced":[91],"orders":[93],"magnitude":[95],"larger.":[96],"Using":[97],"this":[98],"method,":[99],"train":[101],"previously":[103,143],"proposed":[104],"convolutional":[105],"network":[107],"(CNN)":[108],"show":[110],"outperform":[113],"past":[114],"single-channel":[115],"state-of-the-art":[116,148],"methods.":[117,149],"We":[118],"then":[119],"more":[122],"efficient,":[123],"straightforward":[124],"baseline":[125],"CNN":[126],"4-5x":[129],"faster,":[130],"provides":[132],"additional":[134],"improvement":[135],"better":[138],"comparable":[140],"all":[142],"reported":[144],"single-":[145],"multi-channel":[147]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}