{"title":"在网络环境下实现高效的多声道音频业务的双耳解码","authors":"Kwangki Kim, Jinsul Kim","doi":"10.1109/CCNC.2014.6994429","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed the binaural decoding in sound source location coefficient coding to focus on the reduction of the complexity. The proposed binaural decoding is implemented by convolution between the gain factors of the multi-channel audio signals generated by the spatial parameters and the HRTF coefficients in frequency domain. Compared with the typical binaural decoding in time domain, the proposed method can greatly reduce the complexity as about 90 %.","PeriodicalId":287724,"journal":{"name":"2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Binaural decoding for efficient multi-channel audio service in network environment\",\"authors\":\"Kwangki Kim, Jinsul Kim\",\"doi\":\"10.1109/CCNC.2014.6994429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed the binaural decoding in sound source location coefficient coding to focus on the reduction of the complexity. The proposed binaural decoding is implemented by convolution between the gain factors of the multi-channel audio signals generated by the spatial parameters and the HRTF coefficients in frequency domain. Compared with the typical binaural decoding in time domain, the proposed method can greatly reduce the complexity as about 90 %.\",\"PeriodicalId\":287724,\"journal\":{\"name\":\"2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)\",\"volume\":\"124 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2014.6994429\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2014.6994429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Binaural decoding for efficient multi-channel audio service in network environment
In this paper, we proposed the binaural decoding in sound source location coefficient coding to focus on the reduction of the complexity. The proposed binaural decoding is implemented by convolution between the gain factors of the multi-channel audio signals generated by the spatial parameters and the HRTF coefficients in frequency domain. Compared with the typical binaural decoding in time domain, the proposed method can greatly reduce the complexity as about 90 %.