{"id":"https://openalex.org/W2121494072","doi":"https://doi.org/10.1109/icassp.2002.5743680","title":"Mode adaptive Unequal Error Protection for transform predictive speech and audio coders","display_name":"Mode adaptive Unequal Error Protection for transform predictive speech and audio coders","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2121494072","doi":"https://doi.org/10.1109/icassp.2002.5743680","mag":"2121494072"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5743680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743680","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"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/A5113476893","display_name":"Herv\u00e9 Taddei","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Herve Taddei","raw_affiliation_strings":["Siemens AG, Mobile Phones, Munich, Germany","[Siemens AG-Mobile Phones, Munich, Germany]"],"affiliations":[{"raw_affiliation_string":"Siemens AG, Mobile Phones, Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]},{"raw_affiliation_string":"[Siemens AG-Mobile Phones, Munich, Germany]","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034368656","display_name":"Sean A. Ramprashad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean A. Ramprashad","raw_affiliation_strings":["Media Signal Processing Research, Agere Systems, Murray Hill, NJ, USA","Media Signal Processing Research, Agere Systems, 600 Mountain Ave, Murray Hill, NJ, U.S.A"],"affiliations":[{"raw_affiliation_string":"Media Signal Processing Research, Agere Systems, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I4210121626"]},{"raw_affiliation_string":"Media Signal Processing Research, Agere Systems, 600 Mountain Ave, Murray Hill, NJ, U.S.A","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111793437","display_name":"Carl-Erik Sundberg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl-Erik W. Sundberg","raw_affiliation_strings":["Media Signal Processing Research, Agere Systems, Murray Hill, NJ, USA","Media Signal Processing Research, Agere Systems, 600 Mountain Ave, Murray Hill, NJ, U.S.A"],"affiliations":[{"raw_affiliation_string":"Media Signal Processing Research, Agere Systems, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I4210121626"]},{"raw_affiliation_string":"Media Signal Processing Research, Agere Systems, 600 Mountain Ave, Murray Hill, NJ, U.S.A","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111904072","display_name":"Hui\u2010Ling Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154351","display_name":"Marvell (United States)","ror":"https://ror.org/04wmff902","country_code":"US","type":"company","lineage":["https://openalex.org/I4210092679","https://openalex.org/I4210154351"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui-Ling Lou","raw_affiliation_strings":["Marvell Semiconductor, Inc., Sunnyvale, CA, USA","Marvell Semiconducter, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Marvell Semiconductor, Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210154351"]},{"raw_affiliation_string":"Marvell Semiconducter, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210154351"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113476893"],"corresponding_institution_ids":["https://openalex.org/I1325886976"],"apc_list":null,"apc_paid":null,"fwci":1.344,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78292683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.765052080154419},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.6940423250198364},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.6095157265663147},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6058762669563293},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.5073971152305603},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5053930282592773},{"id":"https://openalex.org/keywords/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.46400800347328186},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.4623158872127533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43044403195381165},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.41810303926467896},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.4120187759399414},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.30943602323532104},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.24849873781204224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15714380145072937},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0849793553352356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765052080154419},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.6940423250198364},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.6095157265663147},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6058762669563293},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.5073971152305603},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5053930282592773},{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.46400800347328186},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.4623158872127533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43044403195381165},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.41810303926467896},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4120187759399414},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30943602323532104},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.24849873781204224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15714380145072937},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0849793553352356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2002.5743680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743680","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1517819986","https://openalex.org/W1619596152","https://openalex.org/W1922306751","https://openalex.org/W1954619842","https://openalex.org/W2112435805","https://openalex.org/W2115128587","https://openalex.org/W2145370087","https://openalex.org/W2152084291","https://openalex.org/W2160647929","https://openalex.org/W6641063025"],"related_works":["https://openalex.org/W2148904379","https://openalex.org/W2051489660","https://openalex.org/W1570840316","https://openalex.org/W2114934544","https://openalex.org/W2351988570","https://openalex.org/W1594063474","https://openalex.org/W2155796184","https://openalex.org/W2169202780","https://openalex.org/W1522383839","https://openalex.org/W2769622854"],"abstract_inverted_index":{"In":[0],"this":[1,69],"paper":[2],"we":[3],"investigate":[4],"the":[5,16,32,40,46,57,70,78,81,85,90],"application":[6],"of":[7,31,49,62,89],"Unequal":[8],"Error":[9],"Protection":[10],"(UEP)":[11],"channel":[12,82],"coding":[13,22],"schemes":[14,53],"to":[15,56],"Transform":[17],"Predictive":[18],"Coding":[19],"(TPC)":[20],"audio":[21],"paradigm.":[23],"The":[24],"TPC":[25],"paradigm":[26],"has":[27],"natural":[28],"perceptual":[29],"ordering":[30],"bitstream":[33],"that":[34,54],"provides":[35],"a":[36],"good":[37],"match":[38],"with":[39],"UEP":[41,52],"concept.":[42],"Also":[43],"introduced":[44],"is":[45,74],"general":[47],"idea":[48],"Mode":[50],"Adaptive":[51],"adapt":[55],"differing":[58],"bit-error":[59,86],"sensitivity":[60,87],"profiles":[61],"signal":[63,72],"adaptive":[64],"multimode":[65],"source-coders.":[66],"By":[67],"doing":[68],"decoded":[71],"quality":[73],"optimized":[75],"jointly":[76],"over":[77],"input":[79],"signal,":[80],"conditions":[83],"and":[84],"profile":[88],"source":[91],"coder.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
