{"id":"https://openalex.org/W3016227692","doi":"https://doi.org/10.1109/icassp40776.2020.9053519","title":"High-Resolution Attention Network with Acoustic Segment Model for Acoustic Scene Classification","display_name":"High-Resolution Attention Network with Acoustic Segment Model for Acoustic Scene Classification","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016227692","doi":"https://doi.org/10.1109/icassp40776.2020.9053519","mag":"3016227692"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053519","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":"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/A5100781916","display_name":"Xue Bai","orcid":"https://orcid.org/0000-0001-9717-846X"},"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":"Xue Bai","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":"middle","author":{"id":"https://openalex.org/A5066595711","display_name":"Jun Du","orcid":"https://orcid.org/0000-0002-2387-0389"},"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":"Jun Du","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":"middle","author":{"id":"https://openalex.org/A5101924451","display_name":"Jia Pan","orcid":"https://orcid.org/0000-0002-7073-1744"},"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":"Jia Pan","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":"middle","author":{"id":"https://openalex.org/A5103235094","display_name":"Hengshun Zhou","orcid":"https://orcid.org/0000-0001-7878-6531"},"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":"Heng-shun Zhou","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":"middle","author":{"id":"https://openalex.org/A5049067709","display_name":"Yan-Hui Tu","orcid":null},"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":"Yan-Hui Tu","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/A5066868860","display_name":"Chin\u2010Hui Lee","orcid":"https://orcid.org/0000-0002-1892-2551"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chin-Hui Lee","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100781916"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.7276,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90967742,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"656","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music 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/T11309","display_name":"Music 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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.8397971391677856},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6049783825874329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5669457316398621},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5247357487678528},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5005784034729004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4843350648880005},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4535664916038513},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4273110628128052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8397971391677856},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6049783825874329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5669457316398621},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5247357487678528},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5005784034729004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4843350648880005},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4535664916038513},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4273110628128052},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053519","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":[{"display_name":"Quality Education","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W12823375","https://openalex.org/W114517082","https://openalex.org/W1600744878","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1957665339","https://openalex.org/W2086384421","https://openalex.org/W2099471712","https://openalex.org/W2106924112","https://openalex.org/W2171367362","https://openalex.org/W2528286866","https://openalex.org/W2566935005","https://openalex.org/W2735380212","https://openalex.org/W2806051338","https://openalex.org/W2883935097","https://openalex.org/W2900315145","https://openalex.org/W2949117887","https://openalex.org/W2963403868","https://openalex.org/W2972717820","https://openalex.org/W2973100976","https://openalex.org/W3104696513","https://openalex.org/W4295723153","https://openalex.org/W4320013936","https://openalex.org/W4385245566","https://openalex.org/W6600512881","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6640828828","https://openalex.org/W6739901393","https://openalex.org/W6752516136"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4293226380","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2951819827","https://openalex.org/W2849310602"],"abstract_inverted_index":{"The":[0,117],"spectral":[1],"information":[2,35,85],"of":[3,24,36,43],"acoustic":[4,14,62,70,96,101],"scenes":[5],"is":[6,119,139],"diverse":[7],"and":[8,86,134,145],"complex,":[9],"which":[10,138],"poses":[11],"challenges":[12],"for":[13,61,113],"scene":[15,37,63,97],"tasks.":[16],"To":[17],"improve":[18],"the":[19,40,44,94,100],"classification":[20,129],"performance,":[21],"a":[22,58],"variety":[23],"convolutional":[25],"neural":[26],"networks":[27],"(CNNs)":[28],"are":[29],"proposed":[30,105],"to":[31,81,92,141],"extract":[32],"richer":[33],"semantic":[34,84],"utterances.":[38],"However,":[39],"different":[41,51],"regions":[42],"features":[45],"extracted":[46],"from":[47],"CNN-based":[48,142],"encoder":[49],"have":[50],"importance.":[52],"In":[53,74],"this":[54,75,114],"paper,":[55],"we":[56,77],"propose":[57],"novel":[59],"strategy":[60,91],"classification,":[64],"namely":[65],"high-resolution":[66],"attention":[67,90,115],"network":[68],"with":[69],"segment":[71,102],"model":[72,103],"(HRAN-ASM).":[73],"approach,":[76],"utilize":[78],"fully":[79],"CNN":[80],"obtain":[82],"high-level":[83],"then":[87],"adopt":[88],"two-stage":[89],"select":[93],"relevant":[95],"segments.":[98],"Besides,":[99],"(ASM)":[104],"in":[106],"our":[107],"recent":[108],"work":[109],"provides":[110],"embedding":[111],"vectors":[112],"mechanism.":[116],"performance":[118],"evaluated":[120],"on":[121],"DCASE":[122],"2018":[123],"Task":[124],"1a,":[125],"showing":[126],"70.5%":[127],"good":[128],"accuracy":[130],"under":[131],"single":[132],"system":[133],"no":[135],"data":[136],"expansion,":[137],"superior":[140],"self-attention":[143],"mechanism":[144],"highly":[146],"competitive.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
