{"title":"利用运动补偿频谱外推的音频丢包隐藏","authors":"S. Pedram, S. Vaseghi, Bahareh Langari","doi":"10.1109/ISSPIT.2013.6781920","DOIUrl":null,"url":null,"abstract":"This paper presents a packet loss concealment (PLC) method with applications to VoIP, wideband audio broadcast and streaming. The problem of modeling of time-varying frequency spectrum in the context of PLC is addressed and a novel solution is proposed for tracking and using the temporal motion of spectral flow. The proposed PLC utilizes a time-frequency motion (TFM) matrix representation of the audio signal where each frequency is tagged with a motion vector estimate. The spectral motion vectors are estimated by cross-correlating the movement of spectral energy within sub-bands across time frames. The missing packets are estimated in TFM domain and inverse transformed to the time-domain. In order to compare the proposed method with common approaches, objective performance evaluation of speech quality (PESQ), and subjective listening test in terms of MOS scores are conducted in a range of packet loss from 5% to 20%. The results demonstrate that the proposed algorithm improves performance compared to a number of benchmark methods including that of the ITU.","PeriodicalId":88960,"journal":{"name":"Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology","volume":"23 1","pages":"000434-000439"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Audio packet loss concealment using motion-compensated spectral extrapolation\",\"authors\":\"S. Pedram, S. Vaseghi, Bahareh Langari\",\"doi\":\"10.1109/ISSPIT.2013.6781920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a packet loss concealment (PLC) method with applications to VoIP, wideband audio broadcast and streaming. The problem of modeling of time-varying frequency spectrum in the context of PLC is addressed and a novel solution is proposed for tracking and using the temporal motion of spectral flow. The proposed PLC utilizes a time-frequency motion (TFM) matrix representation of the audio signal where each frequency is tagged with a motion vector estimate. The spectral motion vectors are estimated by cross-correlating the movement of spectral energy within sub-bands across time frames. The missing packets are estimated in TFM domain and inverse transformed to the time-domain. In order to compare the proposed method with common approaches, objective performance evaluation of speech quality (PESQ), and subjective listening test in terms of MOS scores are conducted in a range of packet loss from 5% to 20%. The results demonstrate that the proposed algorithm improves performance compared to a number of benchmark methods including that of the ITU.\",\"PeriodicalId\":88960,\"journal\":{\"name\":\"Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology\",\"volume\":\"23 1\",\"pages\":\"000434-000439\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2013.6781920\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2013.6781920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Audio packet loss concealment using motion-compensated spectral extrapolation
This paper presents a packet loss concealment (PLC) method with applications to VoIP, wideband audio broadcast and streaming. The problem of modeling of time-varying frequency spectrum in the context of PLC is addressed and a novel solution is proposed for tracking and using the temporal motion of spectral flow. The proposed PLC utilizes a time-frequency motion (TFM) matrix representation of the audio signal where each frequency is tagged with a motion vector estimate. The spectral motion vectors are estimated by cross-correlating the movement of spectral energy within sub-bands across time frames. The missing packets are estimated in TFM domain and inverse transformed to the time-domain. In order to compare the proposed method with common approaches, objective performance evaluation of speech quality (PESQ), and subjective listening test in terms of MOS scores are conducted in a range of packet loss from 5% to 20%. The results demonstrate that the proposed algorithm improves performance compared to a number of benchmark methods including that of the ITU.