{"title":"窄带语音的频谱外推","authors":"Giirhan Bulu, A. S. Bingo","doi":"10.1109/SIU.2007.4298739","DOIUrl":null,"url":null,"abstract":"It is known that human speech has components up to 7-8 kHz. However in telephony, speech is usually lowpass filtered at 3.4 kHz and sampled at 8 kHz. Although this filtering operation has little effect on intelligibility, it causes a perceptible degradation in speech quality. This paper deals with the reconstruction of the lost high frequency content of telephone speech using the low frequency spectral information. A reconstruction method based on a lookup table is described and preliminary results are presented.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spectral Extrapolation of Narrowband Speech\",\"authors\":\"Giirhan Bulu, A. S. Bingo\",\"doi\":\"10.1109/SIU.2007.4298739\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is known that human speech has components up to 7-8 kHz. However in telephony, speech is usually lowpass filtered at 3.4 kHz and sampled at 8 kHz. Although this filtering operation has little effect on intelligibility, it causes a perceptible degradation in speech quality. This paper deals with the reconstruction of the lost high frequency content of telephone speech using the low frequency spectral information. A reconstruction method based on a lookup table is described and preliminary results are presented.\",\"PeriodicalId\":315147,\"journal\":{\"name\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2007.4298739\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 15th Signal Processing and Communications Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2007.4298739","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
It is known that human speech has components up to 7-8 kHz. However in telephony, speech is usually lowpass filtered at 3.4 kHz and sampled at 8 kHz. Although this filtering operation has little effect on intelligibility, it causes a perceptible degradation in speech quality. This paper deals with the reconstruction of the lost high frequency content of telephone speech using the low frequency spectral information. A reconstruction method based on a lookup table is described and preliminary results are presented.
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