{"id":"https://openalex.org/W3111327097","doi":"https://doi.org/10.1109/icccs49678.2020.9277310","title":"Performance evaluation of HHT based features for Speech/Music Discrimination under Noisy condition","display_name":"Performance evaluation of HHT based features for Speech/Music Discrimination under Noisy condition","publication_year":2020,"publication_date":"2020-10-14","ids":{"openalex":"https://openalex.org/W3111327097","doi":"https://doi.org/10.1109/icccs49678.2020.9277310","mag":"3111327097"},"language":"en","primary_location":{"id":"doi:10.1109/icccs49678.2020.9277310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs49678.2020.9277310","pdf_url":null,"source":{"id":"https://openalex.org/S4306498618","display_name":"2020 5th International Conference on Computing, Communication and Security (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Computing, Communication and Security (ICCCS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018179243","display_name":"Arvind Kumar","orcid":"https://orcid.org/0000-0003-3947-7757"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arvind Kumar","raw_affiliation_strings":["Department of ECE, Birla Institute of Technology, Ranchi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Birla Institute of Technology, Ranchi, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069929073","display_name":"Kamlesh Kishore","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113358","display_name":"Gujarat Matikam Kalakari & Rural Technology Institute","ror":"https://ror.org/02zfe9916","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210113358"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamlesh Kishore","raw_affiliation_strings":["Department of ECE, RTC Institute of Technology, Ranchi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, RTC Institute of Technology, Ranchi, India","institution_ids":["https://openalex.org/I4210113358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066284552","display_name":"Mahesh Chandra","orcid":"https://orcid.org/0000-0001-9892-5527"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahesh Chandra","raw_affiliation_strings":["Department of ECE, Birla Institute of Technology, Ranchi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Birla Institute of Technology, Ranchi, India","institution_ids":["https://openalex.org/I115715567"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"454","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":0.9991999864578247,"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":0.9991999864578247,"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":0.9988999962806702,"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":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8992508053779602},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8640884160995483},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.8151824474334717},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6156706809997559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139334440231323},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6061371564865112},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5046457052230835},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.48756855726242065},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.45611709356307983},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.445279598236084},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.44412046670913696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4126494228839874},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.35614877939224243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08801901340484619},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06263083219528198},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05903103947639465}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8992508053779602},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8640884160995483},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8151824474334717},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6156706809997559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139334440231323},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6061371564865112},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5046457052230835},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.48756855726242065},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.45611709356307983},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.445279598236084},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.44412046670913696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4126494228839874},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35614877939224243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08801901340484619},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06263083219528198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05903103947639465},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs49678.2020.9277310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs49678.2020.9277310","pdf_url":null,"source":{"id":"https://openalex.org/S4306498618","display_name":"2020 5th International Conference on Computing, Communication and Security (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Computing, Communication and Security (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1600222083","https://openalex.org/W1703370492","https://openalex.org/W1964726488","https://openalex.org/W1980993072","https://openalex.org/W1991460008","https://openalex.org/W2007221293","https://openalex.org/W2018824025","https://openalex.org/W2044138855","https://openalex.org/W2054501026","https://openalex.org/W2068220978","https://openalex.org/W2106055371","https://openalex.org/W2128838222","https://openalex.org/W2148609665","https://openalex.org/W2149379669","https://openalex.org/W2169554924","https://openalex.org/W2774647634","https://openalex.org/W2946595724","https://openalex.org/W3139750691"],"related_works":["https://openalex.org/W4242644833","https://openalex.org/W1963866720","https://openalex.org/W2384389642","https://openalex.org/W2162548278","https://openalex.org/W2040302182","https://openalex.org/W2369086831","https://openalex.org/W2150546814","https://openalex.org/W2118564157","https://openalex.org/W2062429396","https://openalex.org/W2165167938"],"abstract_inverted_index":{"This":[0],"paper":[1],"evaluates":[2],"the":[3],"performance":[4,57],"of":[5,52,74,98],"Hilbert":[6],"Huang":[7],"Transform":[8],"(HHT)":[9],"based":[10,30],"cepstral":[11,31],"features":[12,32,104,107],"for":[13,102,108],"Speech/Music":[14],"Discrimination":[15],"(SMD)":[16],"task":[17],"under":[18],"different":[19,43,60],"noisy":[20],"condition.":[21],"Novel":[22],"instantaneous":[23,27],"frequencies":[24],"(IF)":[25],"and":[26,69],"energies":[28],"(IE)":[29],"are":[33,42],"derived":[34],"from":[35,80],"Intrinsic":[36],"Mode":[37,49],"Functions":[38],"(IMFs).":[39],"These":[40],"IMFs":[41],"AM-FM":[44],"components":[45],"obtained":[46],"on":[47],"Empirical":[48],"Decomposition":[50],"(EMD)":[51],"an":[53],"audio":[54],"signal.":[55],"For":[56],"evaluation,":[58],"three":[59],"noises":[61],"were":[62,86],"considered":[63],"i.e.":[64],"babble":[65],"noise,":[66],"pink":[67],"noise":[68,71,77],"white":[70],"with":[72,88],"variation":[73],"signal":[75],"to":[76,82],"ratio":[78],"(SNR)":[79],"0db":[81,112],"20db.":[83],"Obtained":[84],"results":[85],"compared":[87],"baseline":[89,106],"Mel-Frequency":[90],"Cepstral":[91],"Coefficients":[92],"(MFCC)":[93],"features.":[94],"An":[95],"average":[96],"improvement":[97],"6.59%":[99],"is":[100],"found":[101],"HTIE-MFCC":[103],"over":[105],"GTZAN":[109],"database":[110],"at":[111],"SNR.":[113]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
