{"id":"https://openalex.org/W2153385636","doi":"https://doi.org/10.1109/icassp.2006.1660242","title":"Vtln Warping Factor Estimation Using Accumulation of Sufficient Statistics","display_name":"Vtln Warping Factor Estimation Using Accumulation of Sufficient Statistics","publication_year":2006,"publication_date":"2006-08-02","ids":{"openalex":"https://openalex.org/W2153385636","doi":"https://doi.org/10.1109/icassp.2006.1660242","mag":"2153385636"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/A5069730908","display_name":"Jonas L\u00f6\u00f6f","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"J. Loof","raw_affiliation_strings":["Lehrstuhl f\u00fcr Informatik VI, Comp. Sci. Department, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr Informatik VI, Comp. Sci. Department, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112501010","display_name":"Hermann Ney","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H. Ney","raw_affiliation_strings":["Lehrstuhl f\u00fcr Informatik VI, Comp. Sci. Department, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr Informatik VI, Comp. Sci. Department, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085660348","display_name":"S. Umesh","orcid":"https://orcid.org/0000-0002-5957-1444"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Umesh","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069730908"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":1.2897,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80739824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"1201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"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":0.9957000017166138,"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/T10860","display_name":"Speech and Audio Processing","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.9275145530700684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6251650452613831},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5391415357589722},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.44071465730667114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3999720811843872},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.362179696559906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35268455743789673},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.17242929339408875}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.9275145530700684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251650452613831},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5391415357589722},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.44071465730667114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3999720811843872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.362179696559906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35268455743789673},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.17242929339408875},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2006.1660242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.298.4577","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.4577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-i6.informatik.rwth-aachen.de/publications/download/354/L%7Bo%7D%7Bo%7DfJonasNeyHermannUmeshSrinivasan--%7BVTLN%7DWarpingFactorEstimationUsingAccumulationofSufficientStatistics--2006.pdf","raw_type":"text"},{"id":"pmh:oai:publications.rwth-aachen.de:113420","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/113420","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2006 IEEE International Conference on Acoustics, Speech and Signal Processing, 2006, ICASSP 2006 : 14 - 19 May 2006, [Toulouse, France]; proceedings. - Vol. 1<br/>2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006, Toulouse, France, 2006-05-14 - 2006-05-19","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2964579","https://openalex.org/W145744102","https://openalex.org/W233468731","https://openalex.org/W2002342963","https://openalex.org/W2080400971","https://openalex.org/W2136711599","https://openalex.org/W2140567543","https://openalex.org/W2161966221","https://openalex.org/W2397048842","https://openalex.org/W6600130949","https://openalex.org/W6605888986","https://openalex.org/W6608993760"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W4224236531","https://openalex.org/W4291993329","https://openalex.org/W2063177452","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"an":[5],"efficient":[6],"and":[7,22,43,58],"flexible":[8],"approach":[9],"to":[10,16,94],"VTLN":[11],"warping":[12,21,28,56,76],"factor":[13,77],"estimation.":[14],"Due":[15],"the":[17,36,45,52,65],"equivalence":[18],"of":[19,25,48,68],"frequency":[20],"linear":[23,40,59],"transformation":[24,41,60],"cepstral":[26],"coefficients,":[27],"factors":[29,57],"can":[30],"be":[31],"efficiently":[32],"estimated":[33],"by":[34,51],"accumulating":[35],"sufficient":[37],"statistics":[38],"for":[39,75,84],"estimation,":[42,78],"searching":[44],"constrained":[46],"space":[47],"transformations":[49],"given":[50],"explicit":[53],"mapping":[54],"between":[55],"matrices.":[61],"We":[62],"show":[63],"that":[64],"positive":[66],"effect":[67],"using":[69],"a":[70,85,90,95,100],"properly":[71],"normalized":[72],"optimization":[73],"criterion":[74],"which":[79],"has":[80],"been":[81],"previously":[82],"demonstrated":[83],"signal":[86],"analysis":[87],"front-end":[88],"without":[89],"filterbank,":[91],"carries":[92],"over":[93],"MFCC":[96],"front-end,":[97],"resulting":[98],"in":[99,103],"net":[101],"improvement":[102],"word":[104],"error":[105],"rate":[106]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
