{"id":"https://openalex.org/W4372269969","doi":"https://doi.org/10.1109/icassp49357.2023.10096715","title":"Speaker Diaphragm Excursion Prediction: Deep Attention and Online Adaptation","display_name":"Speaker Diaphragm Excursion Prediction: Deep Attention and Online Adaptation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372269969","doi":"https://doi.org/10.1109/icassp49357.2023.10096715"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096715","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5101912326","display_name":"Yuwei Ren","orcid":"https://orcid.org/0000-0001-7610-2538"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yuwei Ren","raw_affiliation_strings":["Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025130515","display_name":"Matt Zivney","orcid":null},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matt Zivney","raw_affiliation_strings":["Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387965","display_name":"Yin Huang","orcid":"https://orcid.org/0009-0002-1630-6074"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yin Huang","raw_affiliation_strings":["Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031393976","display_name":"Eddie Choy","orcid":null},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eddie Choy","raw_affiliation_strings":["Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022667147","display_name":"Chirag Patel","orcid":"https://orcid.org/0000-0001-8280-1140"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chirag Patel","raw_affiliation_strings":["Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114949117","display_name":"Hao Xu","orcid":"https://orcid.org/0009-0000-1851-6118"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hao Xu","raw_affiliation_strings":["Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research","institution_ids":["https://openalex.org/I19268510"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101912326"],"corresponding_institution_ids":["https://openalex.org/I19268510"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03881064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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":0.9973000288009644,"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/excursion","display_name":"Excursion","score":0.8311718702316284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219337224960327},{"id":"https://openalex.org/keywords/loudspeaker","display_name":"Loudspeaker","score":0.5967234969139099},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5255590677261353},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5121035575866699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49712756276130676},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4450845718383789},{"id":"https://openalex.org/keywords/loudness","display_name":"Loudness","score":0.44309088587760925},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4292508661746979},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41232702136039734},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15054115653038025},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1429695188999176},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10204854607582092}],"concepts":[{"id":"https://openalex.org/C2780550144","wikidata":"https://www.wikidata.org/wiki/Q1156976","display_name":"Excursion","level":2,"score":0.8311718702316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219337224960327},{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.5967234969139099},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5255590677261353},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5121035575866699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49712756276130676},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4450845718383789},{"id":"https://openalex.org/C79018884","wikidata":"https://www.wikidata.org/wiki/Q622324","display_name":"Loudness","level":2,"score":0.44309088587760925},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4292508661746979},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41232702136039734},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15054115653038025},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1429695188999176},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10204854607582092},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096715","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2138031202","https://openalex.org/W2155024422","https://openalex.org/W2171457730","https://openalex.org/W2601326436","https://openalex.org/W2910478176","https://openalex.org/W3092923133","https://openalex.org/W3094502228","https://openalex.org/W3176958767","https://openalex.org/W4221155876","https://openalex.org/W6735308538","https://openalex.org/W6784227514","https://openalex.org/W6784333009","https://openalex.org/W6810049602"],"related_works":["https://openalex.org/W1971411732","https://openalex.org/W2362407587","https://openalex.org/W4401579034","https://openalex.org/W3167953481","https://openalex.org/W4205248644","https://openalex.org/W3097042218","https://openalex.org/W4252469072","https://openalex.org/W1486720777","https://openalex.org/W2323144091","https://openalex.org/W2947935833"],"abstract_inverted_index":{"Speaker":[0],"protection":[1],"algorithm":[2,129],"is":[3,41,66,79,101,120,130,144],"to":[4,10,32,68,81,92,103,122],"leverage":[5],"the":[6,20,37,49,55,70,83,105,125],"playback":[7],"signal":[8],"properties":[9],"prevent":[11],"over":[12],"excursion":[13,71],"while":[14],"maintaining":[15],"maximum":[16],"loudness,":[17],"especially":[18],"for":[19,43],"mobile":[21],"phone":[22],"with":[23],"tiny":[24],"loudspeakers.":[25],"This":[26],"paper":[27],"proposes":[28],"efficient":[29],"DL":[30],"solutions":[31],"accurately":[33],"model":[34,78],"and":[35,51,58,64,86,90,108,135,140],"predict":[36],"nonlinear":[38],"excursion,":[39],"which":[40],"challenging":[42],"conventional":[44],"solutions.":[45,153],"Firstly,":[46],"we":[47],"build":[48],"experiment":[50],"pre-processing":[52],"pipeline,":[53],"where":[54],"feedback":[56],"current":[57],"voltage":[59],"are":[60],"sampled":[61],"as":[62,72],"input,":[63],"laser":[65],"employed":[67],"measure":[69],"ground":[73],"truth.":[74],"Secondly,":[75],"one":[76],"FFTNet":[77],"proposed":[80,128],"explore":[82,104],"dominant":[84],"low-frequency":[85],"other":[87],"unknown":[88],"harmonics,":[89],"compares":[91],"a":[93],"baseline":[94],"ConvNet":[95],"model.":[96],"In":[97],"addition,":[98],"BN":[99],"re-estimation":[100],"designed":[102],"online":[106],"adaptation;":[107],"INT8":[109],"quantization":[110],"based":[111],"on":[112],"AI":[113],"Model":[114],"efficiency":[115],"toolkit":[116],"(AIMET<sup":[117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>)":[119],"applied":[121],"further":[123],"reduce":[124],"complexity.":[126],"The":[127],"verified":[131],"in":[132],"two":[133],"speakers":[134],"3":[136],"typical":[137],"deployment":[138],"scenarios,":[139],">99%":[141],"residual":[142],"DC":[143],"less":[145],"than":[146,151],"0.1":[147],"mm,":[148],"much":[149],"better":[150],"traditional":[152]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}