{"id":"https://openalex.org/W1566448264","doi":"https://doi.org/10.1109/icassp.1981.1171277","title":"Telephone-line speaker recognition using clipped autocorrelation analysis","display_name":"Telephone-line speaker recognition using clipped autocorrelation analysis","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1566448264","doi":"https://doi.org/10.1109/icassp.1981.1171277","mag":"1566448264"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1981.1171277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5112501010","display_name":"Hermann Ney","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162505","display_name":"Philips (Germany)","ror":"https://ror.org/05san5604","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210162505"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"H. Ney","raw_affiliation_strings":["Philips GmbH Forschungslaboratorium Hamburg, Hamburg, Germany","Philips GmbH Forschungslaboratorium Hamburg, Hamburg, F.R.G"],"affiliations":[{"raw_affiliation_string":"Philips GmbH Forschungslaboratorium Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I4210162505"]},{"raw_affiliation_string":"Philips GmbH Forschungslaboratorium Hamburg, Hamburg, F.R.G","institution_ids":["https://openalex.org/I4210162505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112501010"],"corresponding_institution_ids":["https://openalex.org/I4210162505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07393658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"188","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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":0.9865000247955322,"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/T10320","display_name":"Neural Networks and Applications","score":0.9424999952316284,"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/autocorrelation","display_name":"Autocorrelation","score":0.9173505306243896},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7731711864471436},{"id":"https://openalex.org/keywords/autocorrelation-technique","display_name":"Autocorrelation technique","score":0.7021589875221252},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6801340579986572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6741765737533569},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6626222729682922},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.5696050524711609},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5197719931602478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4440397024154663},{"id":"https://openalex.org/keywords/telephony","display_name":"Telephony","score":0.44082748889923096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35345959663391113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2342328131198883},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23077890276908875},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12834879755973816}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.9173505306243896},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7731711864471436},{"id":"https://openalex.org/C183223151","wikidata":"https://www.wikidata.org/wiki/Q4826228","display_name":"Autocorrelation technique","level":3,"score":0.7021589875221252},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6801340579986572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741765737533569},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6626222729682922},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.5696050524711609},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5197719931602478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4440397024154663},{"id":"https://openalex.org/C195358072","wikidata":"https://www.wikidata.org/wiki/Q944584","display_name":"Telephony","level":2,"score":0.44082748889923096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35345959663391113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2342328131198883},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23077890276908875},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12834879755973816}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1981.1171277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1853698673","https://openalex.org/W1917666251","https://openalex.org/W2128160875"],"related_works":["https://openalex.org/W2158491338","https://openalex.org/W2807901368","https://openalex.org/W2133733652","https://openalex.org/W2072658171","https://openalex.org/W2606392311","https://openalex.org/W4385956668","https://openalex.org/W2900895161","https://openalex.org/W4380838366","https://openalex.org/W2539884462","https://openalex.org/W2118039276"],"abstract_inverted_index":{"A":[0],"speaker":[1,87,104,107],"recognition":[2],"system":[3],"is":[4,63],"investigated":[5],"which":[6],"operates":[7],"on":[8,60],"telephone":[9],"speech":[10,13],"and":[11,33,97,106],"performs":[12],"analysis":[14],"by":[15,48],"means":[16],"of":[17,24,51,77,95],"the":[18,25,41,79],"clipped":[19,26,52],"autocorrelation":[20,27,43,53],"function.":[21,44],"The":[22,55],"advantages":[23],"function":[28],"are":[29,46,82],"its":[30,34],"simple":[31],"computation":[32],"reduced":[35],"dynamic":[36,61],"variability":[37],"as":[38],"compared":[39],"to":[40,65,86],"standard":[42],"Utterances":[45],"represented":[47],"time":[49,56,70,80],"contours":[50,81],"coefficients.":[54],"warping":[57],"method":[58],"based":[59],"programming":[62],"used":[64],"bring":[66],"sample":[67],"utterances":[68],"into":[69],"registration":[71],"with":[72,84],"reference":[73],"utterances.":[74],"Different":[75],"methods":[76],"preprocessing":[78],"studied":[83],"respect":[85],"discrimination.":[88],"For":[89],"cooperative":[90],"speakers,":[91],"verification":[92],"error":[93],"rates":[94],"3%":[96],"less":[98],"than":[99],"2%":[100],"were":[101],"obtained":[102],"using":[103],"independent":[105],"individual":[108],"thresholds,":[109],"respectively.":[110]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
