{"id":"https://openalex.org/W4406356068","doi":"https://doi.org/10.1109/wcsp62071.2024.10826793","title":"BULLET: A Fast and Lightweight End-to-End Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression","display_name":"BULLET: A Fast and Lightweight End-to-End Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4406356068","doi":"https://doi.org/10.1109/wcsp62071.2024.10826793"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp62071.2024.10826793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10826793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5100423614","display_name":"Song Chen","orcid":"https://orcid.org/0000-0003-0341-3428"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Chen","raw_affiliation_strings":["University of Science and Technology of China,HeFei,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,HeFei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070385135","display_name":"Yinlong Xu","orcid":"https://orcid.org/0000-0001-9586-0561"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinlong Xu","raw_affiliation_strings":["University of Science and Technology of China,HeFei,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,HeFei,China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100423614"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29076989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1393","last_page":"1399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech 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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9567999839782715,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/echo","display_name":"Echo (communications protocol)","score":0.6208750605583191},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5598021745681763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5561820864677429},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4958096444606781},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.47644832730293274},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.44947949051856995},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42442458868026733},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3628087043762207},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1573769748210907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13781118392944336},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1376655399799347},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11697953939437866}],"concepts":[{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.6208750605583191},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5598021745681763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5561820864677429},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4958096444606781},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.47644832730293274},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.44947949051856995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42442458868026733},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3628087043762207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1573769748210907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13781118392944336},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1376655399799347},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11697953939437866},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp62071.2024.10826793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10826793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","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":35,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2048521186","https://openalex.org/W2061093115","https://openalex.org/W2099464104","https://openalex.org/W2113131123","https://openalex.org/W2121973264","https://openalex.org/W2404892923","https://openalex.org/W2962843322","https://openalex.org/W2963045393","https://openalex.org/W2963868408","https://openalex.org/W2974407961","https://openalex.org/W3015199127","https://openalex.org/W3094550259","https://openalex.org/W3095057960","https://openalex.org/W3160115460","https://openalex.org/W3161480375","https://openalex.org/W3163136406","https://openalex.org/W3196995871","https://openalex.org/W3197042120","https://openalex.org/W3197627016","https://openalex.org/W3198008448","https://openalex.org/W3203083806","https://openalex.org/W4224932531","https://openalex.org/W4225302959","https://openalex.org/W4319862644","https://openalex.org/W4385822385","https://openalex.org/W4385822971","https://openalex.org/W4402111531","https://openalex.org/W4402111978","https://openalex.org/W6638667902","https://openalex.org/W6640212811","https://openalex.org/W6757817989","https://openalex.org/W6780218876","https://openalex.org/W6842294372","https://openalex.org/W6853926944"],"related_works":["https://openalex.org/W1473737476","https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W2949162897","https://openalex.org/W2061432289","https://openalex.org/W2276571074","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W4300003799","https://openalex.org/W4404782863"],"abstract_inverted_index":{"Acoustic":[0],"echo":[1],"cancellation":[2],"(AEC)":[3],"and":[4,54,64,113,185],"noise":[5],"suppression":[6],"(NS)":[7],"are":[8,20],"critical":[9],"components":[10],"in":[11,96],"modern":[12],"full-duplex":[13],"real-time":[14,148,163],"communication":[15],"systems.":[16],"Traditionally,":[17],"these":[18],"tasks":[19,68],"handled":[21],"separately":[22],"using":[23],"large":[24],"network,":[25],"posing":[26],"challenges":[27],"for":[28],"simultaneous":[29],"deployment":[30],"on":[31,150,178],"mobile":[32,180],"devices":[33,181],"due":[34],"to":[35,50,73,82,129],"high":[36],"computational":[37,75,97],"demands.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"present":[43],"Bullet,":[44],"a":[45,70,93,114,133,151,162],"lightweight":[46],"end-to-end":[47],"model":[48,109],"designed":[49],"address":[51],"both":[52,67],"AEC":[53,63],"NS":[55],"tasks.":[56],"We":[57,123],"leverage":[58],"the":[59,105],"shared":[60],"features":[61],"between":[62],"NS,":[65],"integrating":[66],"into":[69],"single":[71,152],"network":[72],"reduce":[74,84],"complexity.":[76],"Band":[77],"Merge":[78],"(BM)":[79],"is":[80],"used":[81],"further":[83,103],"complexity":[85],"by":[86],"compressing":[87],"less":[88],"perceptible":[89],"high-frequency":[90],"information,":[91],"achieving":[92],"46.9%":[94],"reduction":[95],"load":[98],"without":[99],"compromising":[100],"performance.":[101,171],"To":[102],"improve":[104,130],"model's":[106],"performance,":[107],"our":[108],"incorporates":[110],"perceptual":[111],"loss":[112],"Complex":[115],"Ratio":[116],"Masking":[117],"(CRM)":[118],"module,":[119],"enhancing":[120],"subjective":[121],"quality.":[122],"design":[124],"extensive":[125],"data":[126],"augmentation":[127],"techniques":[128],"generalization":[131],"across":[132],"variety":[134],"of":[135,154,166],"real-world":[136],"scenarios.":[137],"Experimental":[138],"results":[139],"demonstrate":[140],"that":[141],"Bullet":[142,173],"with":[143,161,187],"only":[144],"0.19M":[145],"parameters":[146],"achieves":[147],"inference":[149],"thread":[153],"an":[155],"Intel":[156],"Core":[157],"i7-12700H":[158],"@2.3GHz":[159],"CPU,":[160],"factor":[164],"(RTF)":[165],"0.025,":[167],"while":[168],"maintaining":[169],"competitive":[170],"Moreover,":[172],"has":[174],"been":[175],"successfully":[176],"deployed":[177],"actual":[179],"such":[182],"as":[183],"laptops":[184],"smartphones":[186],"minimal":[188],"power":[189],"consumption.":[190]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
