{"id":"https://openalex.org/W2152613631","doi":"https://doi.org/10.1109/icassp.2009.4960537","title":"Packet loss concealment based on extrapolation of speech waveform","display_name":"Packet loss concealment based on extrapolation of speech waveform","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2152613631","doi":"https://doi.org/10.1109/icassp.2009.4960537","mag":"2152613631"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5012793749","display_name":"Juin-Hwey Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127325","display_name":"Broadcom (United States)","ror":"https://ror.org/035gt5s03","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127325"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Juin-Hwey Chen","raw_affiliation_strings":["Broadcom Corporation, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"Broadcom Corporation, Irvine, CA, USA","institution_ids":["https://openalex.org/I4210127325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012793749"],"corresponding_institution_ids":["https://openalex.org/I4210127325"],"apc_list":null,"apc_paid":null,"fwci":1.9414,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88342187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4129","last_page":"4132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9987999796867371,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9896000027656555,"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/pesq","display_name":"PESQ","score":0.8937355279922485},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.8424369096755981},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.759984016418457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7270119786262512},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5805894136428833},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5440884828567505},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.5372277498245239},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.4908974766731262},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.47304147481918335},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.37321412563323975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2251601219177246},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1962774097919464},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16699305176734924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08126035332679749}],"concepts":[{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.8937355279922485},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.8424369096755981},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.759984016418457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270119786262512},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5805894136428833},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5440884828567505},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.5372277498245239},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.4908974766731262},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.47304147481918335},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.37321412563323975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2251601219177246},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1962774097919464},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16699305176734924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08126035332679749},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4960537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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","score":0.6000000238418579,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W190359713","https://openalex.org/W1635501677","https://openalex.org/W1871996902","https://openalex.org/W1972641677","https://openalex.org/W1975246087","https://openalex.org/W2011798177","https://openalex.org/W2111393885","https://openalex.org/W2115772580","https://openalex.org/W2118763712","https://openalex.org/W2268759693","https://openalex.org/W2549236285","https://openalex.org/W6607825732","https://openalex.org/W6636706469"],"related_works":["https://openalex.org/W2058482658","https://openalex.org/W3016109656","https://openalex.org/W3135613579","https://openalex.org/W1973895194","https://openalex.org/W4386746628","https://openalex.org/W4388016426","https://openalex.org/W2546593254","https://openalex.org/W1980687383","https://openalex.org/W2166831097","https://openalex.org/W2094423836"],"abstract_inverted_index":{"A":[0],"class":[1],"of":[2,24,98],"packet":[3,70,118,130],"loss":[4,71,131],"concealment":[5],"algorithms":[6],"for":[7,17,68,128],"speech":[8,27,57,87],"coding":[9],"is":[10,39,47,77,110],"presented.":[11],"It":[12],"generates":[13],"the":[14,18,25,51,81,85,90,95,102,107,113,117],"replacement":[15],"waveform":[16,88,99,109,115],"lost":[19,103],"frame":[20,46,76,92,104],"by":[21,64,125],"direct":[22],"extrapolation":[23,100],"past":[26],"waveform,":[28],"with":[29,112],"or":[30],"without":[31],"look-ahead.":[32],"The":[33],"ITU-T":[34],"G.722":[35],"Appendix":[36,61],"III":[37],"standard":[38],"based":[40],"on":[41],"it.":[42],"When":[43,73],"a":[44,74],"future":[45,75,91],"unavailable":[48],"(without":[49],"look-ahead),":[50,80],"PLC":[52,82],"algorithm":[53,83],"gives":[54],"significantly":[55],"better":[56],"quality":[58],"than":[59],"G.711":[60],"I":[62],"-":[63],"about":[65],"0.2":[66,127],"PESQ":[67,124],"high":[69,129],"rates.":[72,132],"available":[78],"(with":[79],"uses":[84],"decoded":[86,114],"in":[89],"to":[93],"guide":[94],"pitch":[96],"contour":[97],"during":[101],"such":[105],"that":[106],"extrapolated":[108],"phase-aligned":[111],"after":[116],"loss.":[119],"This":[120],"technique":[121],"further":[122],"improved":[123],"another":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}