{"id":"https://openalex.org/W2092372975","doi":"https://doi.org/10.1109/icassp.2013.6639128","title":"Automatic detection of anger in telephone speech with robust autoregressive modulation filtering","display_name":"Automatic detection of anger in telephone speech with robust autoregressive modulation filtering","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2092372975","doi":"https://doi.org/10.1109/icassp.2013.6639128","mag":"2092372975"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3431374","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/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jouni Pohjalainen","raw_affiliation_strings":["Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland","Dept. of Signal Process. & Acoust., Aalto Univ., Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Signal Process. & Acoust., Aalto Univ., Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042186400","display_name":"Paavo Alku","orcid":"https://orcid.org/0000-0002-8173-9418"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Paavo Alku","raw_affiliation_strings":["Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland","Dept. of Signal Process. & Acoust., Aalto Univ., Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Signal Process. & Acoust., Aalto Univ., Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":2.5767,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90398938,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"7537","last_page":"7541"},"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":0.9988999962806702,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9922000169754028,"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/autoregressive-model","display_name":"Autoregressive model","score":0.8229941129684448},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8086766004562378},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7972607016563416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7706131935119629},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7211399078369141},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.556775689125061},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.522211492061615},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.49743345379829407},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.47205907106399536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41675469279289246},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.41072607040405273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39179402589797974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11171767115592957},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07362762093544006}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8229941129684448},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8086766004562378},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7972607016563416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706131935119629},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7211399078369141},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.556775689125061},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.522211492061615},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.49743345379829407},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.47205907106399536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41675469279289246},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.41072607040405273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39179402589797974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11171767115592957},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07362762093544006},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2013.6639128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:3431374","is_oa":true,"landing_page_url":"https://zenodo.org/record/3431374","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3431374","is_oa":true,"landing_page_url":"https://zenodo.org/record/3431374","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W88864901","https://openalex.org/W175750906","https://openalex.org/W204722540","https://openalex.org/W1574527261","https://openalex.org/W1581975840","https://openalex.org/W1844030040","https://openalex.org/W2011114978","https://openalex.org/W2019915615","https://openalex.org/W2057563799","https://openalex.org/W2062391442","https://openalex.org/W2064641533","https://openalex.org/W2069501481","https://openalex.org/W2074179263","https://openalex.org/W2083094940","https://openalex.org/W2103412248","https://openalex.org/W2107794610","https://openalex.org/W2122051577","https://openalex.org/W2134554540","https://openalex.org/W2137075158","https://openalex.org/W2156028525","https://openalex.org/W2165880886","https://openalex.org/W2166223208","https://openalex.org/W2183282870","https://openalex.org/W2399953370","https://openalex.org/W3094114204","https://openalex.org/W4212935150","https://openalex.org/W4232222670","https://openalex.org/W6607193717","https://openalex.org/W6608355301","https://openalex.org/W6634414393","https://openalex.org/W6634955641","https://openalex.org/W6638569628","https://openalex.org/W6655382975","https://openalex.org/W6675841537","https://openalex.org/W6685928207","https://openalex.org/W6712893823"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2787035864","https://openalex.org/W2373675101","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W1556565948","https://openalex.org/W2074132948","https://openalex.org/W2160511961"],"abstract_inverted_index":{"A":[0],"new":[1],"system":[2],"for":[3],"automatic":[4],"detection":[5],"of":[6,13,23,28,47,66,81,86],"angry":[7],"speech":[8,16,31,42],"is":[9,33],"proposed.":[10],"Using":[11],"simulation":[12],"far-end-noise-corrupted":[14],"telephone":[15],"and":[17,44],"the":[18,40,45,48,56,67,84,91],"widely":[19],"used":[20],"Berlin":[21],"database":[22],"emotional":[24],"speech,":[25],"autoregressive":[26,51],"prediction":[27],"features":[29],"across":[30],"frames":[32],"shown":[34],"to":[35,38,61],"contribute":[36],"significantly":[37],"both":[39],"clean":[41],"performance":[43],"robustness":[46,82],"system.":[49],"The":[50],"models":[52],"are":[53],"learned":[54],"from":[55],"training":[57],"data":[58],"in":[59,79,83,90],"order":[60],"capture":[62],"long-term":[63],"temporal":[64],"dynamics":[65],"features.":[68],"Additionally,":[69],"linear":[70],"predictive":[71],"spectrum":[72,77],"analysis":[73,78],"outperforms":[74],"conventional":[75],"Fourier":[76],"terms":[80],"computation":[85],"mel-frequency":[87],"cepstral":[88],"coefficients":[89],"feature":[92],"extraction":[93],"stage.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2016-06-24T00:00:00"}