{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/80798"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/80798","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Loss Concealment for Low -Bit -Rate Packet Voice","abstract":"We propose a new coder-dependent parameter-based MDC. Based on the correlations of coding parameters, we generate multiple descriptions systematically. In particular, we have observed high inter-frame correlations in linear predictors of low-bit-rate coders, but low correlations in excitation parameters. Hence, we generate multiple descriptions at the sender side by interleaving linear predictors, and reconstruct lost ones at the receiver side by linear interpolations. In addition, we replicate hard-to-reconstruct, excitation parameters to multiple descriptions. We also require our design to be done in such a way that does not require extra transmission bandwidth and that can adapt its number of descriptions to network-loss conditions dynamically. We have compared three linear predictor representations, Reflection Coefficient, Log Area Ratio, and Line Spectral Pair (LSP), by their reconstruction qualities, and have found that the LSP representation performs the best. Finally, we have studied LSP reconstructions and enhancements on excitation quality. Extensive tests on FS CELP, ITU G.723.1, and FS MELP under different loss scenarios have shown good quality and reliability of our proposed scheme.","abstract_html":"We propose a new coder-dependent parameter-based MDC. Based on the correlations of coding parameters, we generate multiple descriptions systematically. In particular, we have observed high inter-frame correlations in linear predictors of low-bit-rate coders, but low correlations in excitation parameters. Hence, we generate multiple descriptions at the sender side by interleaving linear predictors, and reconstruct lost ones at the receiver side by linear interpolations. In addition, we replicate hard-to-reconstruct, excitation parameters to multiple descriptions. We also require our design to be done in such a way that does not require extra transmission bandwidth and that can adapt its number of descriptions to network-loss conditions dynamically. We have compared three linear predictor representations, Reflection Coefficient, Log Area Ratio, and Line Spectral Pair (LSP), by their reconstruction qualities, and have found that the LSP representation performs the best. Finally, we have studied LSP reconstructions and enhancements on excitation quality. Extensive tests on FS CELP, ITU G.723.1, and FS MELP under different loss scenarios have shown good quality and reliability of our proposed scheme.","abstract_has_math":false,"creators":["Lin, Dong"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":["Wah, Benjamin W."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:08:12Z","date_published":"2015-09-25T20:08:12Z","updated_at":"2026-07-22T22:26:14Z","subjects":["Engineering, Electronics and Electrical"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3070371"],"render_values":[{"text":"(MiAaPQ)AAI3070371","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/80798","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Wah, Benjamin W."]},{"key":"dc:creator","label":"Author","values":["Lin, Dong"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T20:08:12Z","10000-01-01","2002"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Electronics and Electrical"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/80798","(MiAaPQ)AAI3070371"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["We propose a new coder-dependent parameter-based MDC. Based on the correlations of coding parameters, we generate multiple descriptions systematically. In particular, we have observed high inter-frame correlations in linear predictors of low-bit-rate coders, but low correlations in excitation parameters. Hence, we generate multiple descriptions at the sender side by interleaving linear predictors, and reconstruct lost ones at the receiver side by linear interpolations. In addition, we replicate hard-to-reconstruct, excitation parameters to multiple descriptions. We also require our design to be done in such a way that does not require extra transmission bandwidth and that can adapt its number of descriptions to network-loss conditions dynamically. We have compared three linear predictor representations, Reflection Coefficient, Log Area Ratio, and Line Spectral Pair (LSP), by their reconstruction qualities, and have found that the LSP representation performs the best. Finally, we have studied LSP reconstructions and enhancements on excitation quality. Extensive tests on FS CELP, ITU G.723.1, and FS MELP under different loss scenarios have shown good quality and reliability of our proposed scheme.","Made available in DSpace on 2015-09-25T20:08:12Z (GMT). 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In particular, we have observed high inter-frame correlations in linear predictors of low-bit-rate coders, but low correlations in excitation parameters. Hence, we generate multiple descriptions at the sender side by interleaving linear predictors, and reconstruct lost ones at the receiver side by linear interpolations. In addition, we replicate hard-to-reconstruct, excitation parameters to multiple descriptions. We also require our design to be done in such a way that does not require extra transmission bandwidth and that can adapt its number of descriptions to network-loss conditions dynamically. We have compared three linear predictor representations, Reflection Coefficient, Log Area Ratio, and Line Spectral Pair (LSP), by their reconstruction qualities, and have found that the LSP representation performs the best. Finally, we have studied LSP reconstructions and enhancements on excitation quality. 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