{"id":"https://openalex.org/W3120761289","doi":"https://doi.org/10.1109/dcc50243.2021.00035","title":"Low Delay Robust Audio Coding by Noise Shaping, Fractional Sampling, and Source Prediction","display_name":"Low Delay Robust Audio Coding by Noise Shaping, Fractional Sampling, and Source Prediction","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W3120761289","doi":"https://doi.org/10.1109/dcc50243.2021.00035","mag":"3120761289"},"language":"en","primary_location":{"id":"doi:10.1109/dcc50243.2021.00035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc50243.2021.00035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Data Compression Conference (DCC)","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/A5023894109","display_name":"Jan \u00d8stergaard","orcid":"https://orcid.org/0000-0002-3724-6114"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Jan Ostergaard","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023894109"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.5834872,"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":"273","last_page":"282"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.8320891857147217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7371049523353577},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6234214305877686},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.587264358997345},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5542254447937012},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5319182276725769},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.5145208239555359},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47202223539352417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43679964542388916},{"id":"https://openalex.org/keywords/sub-band-coding","display_name":"Sub-band coding","score":0.4233143925666809},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3309835195541382},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.31583696603775024},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.24867206811904907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20252171158790588},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1635427474975586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16029387712478638},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1311134397983551}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8320891857147217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371049523353577},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6234214305877686},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.587264358997345},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5542254447937012},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5319182276725769},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.5145208239555359},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47202223539352417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43679964542388916},{"id":"https://openalex.org/C98526533","wikidata":"https://www.wikidata.org/wiki/Q1691938","display_name":"Sub-band coding","level":3,"score":0.4233143925666809},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3309835195541382},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.31583696603775024},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.24867206811904907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20252171158790588},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1635427474975586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16029387712478638},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1311134397983551},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dcc50243.2021.00035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc50243.2021.00035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Data Compression Conference (DCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/e5811b10-2400-44a4-8477-303dfb87ca9c","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/e5811b10-2400-44a4-8477-303dfb87ca9c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"\u00d8stergaard, J 2021, Low Delay Robust Audio Coding by Noise Shaping, Fractional Sampling, and Source Prediction. in A Bilgin, M W Marcellin, J Serra-Sagrista & J A Storer (eds), Proceedings - DCC 2021 : 2021 Data Compression Conference., 9418676, IEEE Signal Processing Society, Data Compression Conference. Proceedings, pp. 273-282, 2021 Data Compression Conference (DCC), Snowbird, Utah, United States, 23/03/2021. https://doi.org/10.1109/DCC50243.2021.00035","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1970308149","https://openalex.org/W2009674825","https://openalex.org/W2011564903","https://openalex.org/W2020883660","https://openalex.org/W2060108852","https://openalex.org/W2079337129","https://openalex.org/W2083687351","https://openalex.org/W2097772361","https://openalex.org/W2098691264","https://openalex.org/W2102647499","https://openalex.org/W2105307924","https://openalex.org/W2114939100","https://openalex.org/W2115376534","https://openalex.org/W2120576084","https://openalex.org/W2123095296","https://openalex.org/W2128767958","https://openalex.org/W2131990321","https://openalex.org/W2148037789","https://openalex.org/W2154979977","https://openalex.org/W2155031694","https://openalex.org/W2163429408","https://openalex.org/W2183661963","https://openalex.org/W2231815158","https://openalex.org/W2527689590","https://openalex.org/W2963169799","https://openalex.org/W4301513688","https://openalex.org/W6686036835"],"related_works":["https://openalex.org/W2100912434","https://openalex.org/W2158434271","https://openalex.org/W2118305611","https://openalex.org/W1901617521","https://openalex.org/W1857623347","https://openalex.org/W2535652782","https://openalex.org/W2744599249","https://openalex.org/W1568040281","https://openalex.org/W1498164178","https://openalex.org/W2109477680"],"abstract_inverted_index":{"It":[0],"was":[1,37],"recently":[2],"shown":[3,38],"that":[4,39,126,174],"the":[5,70,77,128],"combination":[6],"of":[7,84,118,161,168,195],"source":[8,101],"prediction,":[9],"two-times":[10],"oversampling,":[11],"and":[12,65,91,164,191],"noise":[13],"shaping,":[14],"can":[15,180],"be":[16,43,181],"used":[17],"to":[18,80,100],"obtain":[19],"a":[20,54,60,92,115,158,165],"robust":[21],"(multiple-description)":[22],"audio":[23,40,141,146],"coding":[24,159],"framework":[25],"for":[26,183],"networks":[27,149],"with":[28,150],"packet":[29,152,155,192],"loss":[30,193],"probabilities":[31,194],"less":[32],"than":[33,136],"10%.":[34],"Specifically,":[35],"it":[36,171],"signals":[41],"could":[42],"encoded":[44],"into":[45],"two":[46],"descriptions":[47,85],"(packets),":[48],"which":[49],"were":[50],"separately":[51],"sent":[52],"over":[53],"communication":[55],"channel.":[56],"Each":[57],"description":[58],"yields":[59],"desired":[61],"performance":[62,71],"by":[63,87,134],"itself,":[64],"when":[66],"they":[67],"are":[68],"combined,":[69],"is":[72,124,172],"improved.":[73],"This":[74],"paper":[75],"extends":[76],"previous":[78],"work":[79],"an":[81],"arbitrary":[82],"number":[83],"(packets)":[86],"using":[88],"fractional":[89],"oversampling":[90],"new":[93],"decoding":[94],"principle.":[95],"We":[96],"demonstrate":[97],"that,":[98],"due":[99],"aliasing,":[102],"existing":[103],"MSE":[104],"optimized":[105],"reconstruction":[106,122],"rules":[107],"from":[108,114],"noisy":[109],"sampled":[110],"data,":[111],"performs":[112],"poorly":[113],"perceptual":[116],"point":[117],"view.":[119],"A":[120],"simple":[121],"rule":[123],"proposed,":[125],"improves":[127],"PEAQ":[129,176],"objective":[130],"difference":[131],"grades":[132],"(ODG)":[133],"more":[135],"2":[137],"points.":[138],"The":[139],"proposed":[140],"coder":[142],"enables":[143],"low-delay":[144],"high-quality":[145],"streaming":[147],"on":[148],"late":[151],"arrivals":[153],"or":[154],"losses.":[156],"With":[157],"delay":[160],"2.5":[162],"ms,":[163],"total":[166],"bitrate":[167],"300":[169],"kbps,":[170],"demonstrated":[173],"mean":[175],"ODGs":[177],"around":[178],"-0.65":[179],"obtained":[182],"48":[184],"kHz":[185],"(mono)":[186],"music":[187],"(pop":[188],"&":[189],"rock),":[190],"20%.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2025-10-10T00:00:00"}
