{"id":"https://openalex.org/W2148051276","doi":"https://doi.org/10.21437/interspeech.2008-297","title":"A posteriori SNR weighted energy based variable frame rate analysis for speech recognition","display_name":"A posteriori SNR weighted energy based variable frame rate analysis for speech recognition","publication_year":2008,"publication_date":"2008-09-22","ids":{"openalex":"https://openalex.org/W2148051276","doi":"https://doi.org/10.21437/interspeech.2008-297","mag":"2148051276"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2008-297","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","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/A5090108098","display_name":"Zheng\u2010Hua Tan","orcid":"https://orcid.org/0000-0001-6856-8928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng-Hua Tan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109059235","display_name":"B\u00f8rge Lindberg","orcid":"https://orcid.org/0000-0001-5394-8100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B\u00f8rge Lindberg","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5209,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84059954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1024","last_page":"1027"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.754380464553833},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7214469909667969},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6326073408126831},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.5701459646224976},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.5400276184082031},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.5310041904449463},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.45737528800964355},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4570501148700714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4516032934188843},{"id":"https://openalex.org/keywords/harmonic-vector-excitation-coding","display_name":"Harmonic Vector Excitation Coding","score":0.44191619753837585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4362887144088745},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.30181682109832764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17928078770637512},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12635913491249084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754380464553833},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7214469909667969},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6326073408126831},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.5701459646224976},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.5400276184082031},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.5310041904449463},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.45737528800964355},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4570501148700714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4516032934188843},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.44191619753837585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4362887144088745},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.30181682109832764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17928078770637512},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12635913491249084},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2008-297","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.627.9938","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.627.9938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://kom.aau.dk/~zt/doc/Tan_Interspeech2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"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":16,"referenced_works":["https://openalex.org/W25451487","https://openalex.org/W236951136","https://openalex.org/W1513946950","https://openalex.org/W1550527692","https://openalex.org/W1984446451","https://openalex.org/W2012236403","https://openalex.org/W2104599461","https://openalex.org/W2110707300","https://openalex.org/W2112772843","https://openalex.org/W2124243855","https://openalex.org/W2151484683","https://openalex.org/W2156561020","https://openalex.org/W2158336491","https://openalex.org/W2159748844","https://openalex.org/W2160610099","https://openalex.org/W2166533296"],"related_works":["https://openalex.org/W1928998787","https://openalex.org/W1570840316","https://openalex.org/W1976952689","https://openalex.org/W2154415461","https://openalex.org/W2539491809","https://openalex.org/W1984921740","https://openalex.org/W2231892291","https://openalex.org/W2520556658","https://openalex.org/W2156390878","https://openalex.org/W2910493550"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,107],"variable":[4,146],"frame":[5,22,104,124,147],"rate":[6,98,125],"(VFR)":[7],"analysis":[8],"method":[9,28,61,84],"that":[10,121],"uses":[11],"an":[12],"posteriori":[14],"signal-to-noise":[15],"ratio":[16],"(SNR)":[17],"weighted":[18],"energy":[19,34],"distance":[20,35],"for":[21,74,87,133],"selection.":[23],"The":[24,59],"novelty":[25],"of":[26,33,37,48],"the":[27,31,46,53,83,95,103,115,122],"consists":[29],"in":[30,56,67,79,90,114],"use":[32,47],"(instead":[36],"cepstral":[38],"distance)":[39],"to":[40,51,64,112],"make":[41],"it":[42,71],"computationally":[43],"efficient":[44],"and":[45,137],"SNR":[49],"weighting":[50],"emphasize":[52],"reliable":[54],"regions":[55],"speech":[57,65,76,92,142,144],"signals.":[58],"VFR":[60],"is":[62,72,85,99,126],"applied":[63],"recognition":[66,77,93,113],"two":[68],"scenarios.":[69],"First,":[70],"used":[73,86],"improving":[75],"performance":[78],"noisy":[80],"environments.":[81],"Secondly,":[82],"source":[88,138,151],"coding":[89,109,152],"distributed":[91],"where":[94],"target":[96],"bit":[97],"met":[100],"by":[101],"adjusting":[102],"rate,":[105,148],"yielding":[106],"scalable":[108],"scheme.":[110],"Prior":[111],"server,":[116],"frames":[117],"are":[118,131],"repeated":[119],"so":[120],"original":[123],"restored.":[127],"Very":[128],"encouraging":[129],"results":[130],"obtained":[132],"both":[134],"noise":[135,149],"robustness":[136],"coding.":[139],"Index":[140],"Terms:":[141],"recognition,":[143],"analysis,":[145],"robustness,":[150]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
