{"id":"https://openalex.org/W2525246137","doi":"https://doi.org/10.1145/2964284.2967306","title":"Spectral and Cepstral Audio Noise Reduction Techniques in Speech Emotion Recognition","display_name":"Spectral and Cepstral Audio Noise Reduction Techniques in Speech Emotion Recognition","publication_year":2016,"publication_date":"2016-09-29","ids":{"openalex":"https://openalex.org/W2525246137","doi":"https://doi.org/10.1145/2964284.2967306","mag":"2525246137"},"language":"en","primary_location":{"id":"doi:10.1145/2964284.2967306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2967306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01494062","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008322847","display_name":"Jouni Pohjalainen","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jouni Pohjalainen","raw_affiliation_strings":["University of Passau, Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026933067","display_name":"Fabien Ringeval","orcid":"https://orcid.org/0000-0002-9213-4529"},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabien Fabien Ringeval","raw_affiliation_strings":["Universite Grenoble Alpes, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036056631","display_name":"Zixing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zixing Zhang","raw_affiliation_strings":["University of Passau, Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn Schuller","raw_affiliation_strings":["University of Passau, Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5526,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.9060686,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"670","last_page":"674"},"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":0.9997000098228455,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7602429389953613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7599448561668396},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6708978414535522},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5874506235122681},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.5526198744773865},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5396173000335693},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5073499083518982},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5050318837165833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4644847512245178},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43787842988967896},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4341161847114563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4083848297595978},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40526002645492554},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.24062922596931458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10215666890144348}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7602429389953613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599448561668396},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6708978414535522},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5874506235122681},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.5526198744773865},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5396173000335693},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5073499083518982},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5050318837165833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4644847512245178},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43787842988967896},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4341161847114563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4083848297595978},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40526002645492554},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.24062922596931458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10215666890144348},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2964284.2967306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2967306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01494062v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01494062","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 24th ACM International Conference on Multimedia (ACM MM), 2016, Amsterdam, Netherlands. pp.670 - 674, &#x27E8;10.1145/2964284.2967306&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:72179","is_oa":false,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/72179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01494062v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01494062","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 24th ACM International Conference on Multimedia (ACM MM), 2016, Amsterdam, Netherlands. pp.670 - 674, &#x27E8;10.1145/2964284.2967306&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W46095808","https://openalex.org/W88864901","https://openalex.org/W567437002","https://openalex.org/W1493163583","https://openalex.org/W1495679096","https://openalex.org/W1956021273","https://openalex.org/W1966264494","https://openalex.org/W1989337816","https://openalex.org/W2000162405","https://openalex.org/W2005418748","https://openalex.org/W2037441721","https://openalex.org/W2043843997","https://openalex.org/W2045528981","https://openalex.org/W2057563799","https://openalex.org/W2059045901","https://openalex.org/W2069501481","https://openalex.org/W2070707809","https://openalex.org/W2120987913","https://openalex.org/W2121973264","https://openalex.org/W2128653836","https://openalex.org/W2130178255","https://openalex.org/W2130917731","https://openalex.org/W2137089646","https://openalex.org/W2149535104","https://openalex.org/W2153384885","https://openalex.org/W2166223208","https://openalex.org/W2167204516","https://openalex.org/W2313339984","https://openalex.org/W2318465276","https://openalex.org/W2346454595","https://openalex.org/W2398618787","https://openalex.org/W2398865593","https://openalex.org/W2399733683","https://openalex.org/W2511508976","https://openalex.org/W3094114204","https://openalex.org/W3147539069","https://openalex.org/W4245919820","https://openalex.org/W6668030345","https://openalex.org/W6986728531"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W4385672897","https://openalex.org/W2373675101","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W2074132948","https://openalex.org/W2167481420","https://openalex.org/W2143185488"],"abstract_inverted_index":{"Signal":[0],"noise":[1,124],"reduction":[2,125],"can":[3],"improve":[4],"the":[5,25,113,115],"performance":[6,30],"of":[7,20,60,82,103],"machine":[8],"learning":[9],"systems":[10],"dealing":[11],"with":[12,57],"time":[13],"signals":[14],"such":[15,36],"as":[16,37,96],"audio.":[17],"Real-life":[18],"applicability":[19],"these":[21],"recognition":[22,81,93],"technologies":[23],"requires":[24],"system":[26],"to":[27,79,120],"uphold":[28],"its":[29],"level":[31],"in":[32,49],"variable,":[33],"challenging":[34],"conditions":[35],"noisy":[38,90],"environments.":[39],"In":[40,112],"this":[41],"contribution,":[42],"we":[43],"investigate":[44],"audio":[45],"signal":[46],"denoising":[47],"methods":[48,117],"cepstral":[50],"and":[51,54,84,105],"log-spectral":[52],"domains":[53],"compare":[55],"them":[56],"common":[58],"implementations":[59],"standard":[61,123],"techniques.":[62],"The":[63],"different":[64],"approaches":[65],"are":[66,76,118],"first":[67],"compared":[68],"generally":[69,121],"using":[70],"averaged":[71],"acoustic":[72],"distance":[73],"metrics.":[74],"They":[75],"then":[77],"applied":[78],"automatic":[80],"spontaneous":[83],"natural":[85],"emotions":[86],"under":[87],"simulated":[88],"smartphone-recorded":[89],"conditions.":[91],"Emotion":[92],"is":[94],"implemented":[95],"support":[97],"vector":[98],"regression":[99],"for":[100],"continuous-valued":[101],"prediction":[102],"arousal":[104],"valence":[106],"on":[107],"a":[108],"realistic":[109],"multimodal":[110],"database.":[111],"experiments,":[114],"proposed":[116],"found":[119],"outperform":[122],"algorithms.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
