{"title":"快速VQ多抽头pitch预测系数","authors":"Zeng Zhihua, Xiao Zimei","doi":"10.1109/ICOSP.1998.770278","DOIUrl":null,"url":null,"abstract":"Pitch predictors are important in achieving high-quality speech for linear prediction-based analysis-by-synthesis (LPAS) coders. Multi-tap pitch predictors with vector quantization (VQ) of the predictor coefficients have been adopted in more and more LPAS coders because they can provide high prediction gain. Higher-tap pitch predictors (tap>3) have better performance but they are seldom used due to the high computational complexity of vector quantizing the pitch predictor coefficients. This paper proposes a new VQ scheme for multi-tap pitch predictors, the likelihood error criterion-based vector quantization (LEC-VQ). Experiments show that the proposed VQ method can efficiently reduce the computational complexity while maintaining high speech quality.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fast VQ of multi-tap pitch predictor coefficients\",\"authors\":\"Zeng Zhihua, Xiao Zimei\",\"doi\":\"10.1109/ICOSP.1998.770278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pitch predictors are important in achieving high-quality speech for linear prediction-based analysis-by-synthesis (LPAS) coders. Multi-tap pitch predictors with vector quantization (VQ) of the predictor coefficients have been adopted in more and more LPAS coders because they can provide high prediction gain. Higher-tap pitch predictors (tap>3) have better performance but they are seldom used due to the high computational complexity of vector quantizing the pitch predictor coefficients. This paper proposes a new VQ scheme for multi-tap pitch predictors, the likelihood error criterion-based vector quantization (LEC-VQ). Experiments show that the proposed VQ method can efficiently reduce the computational complexity while maintaining high speech quality.\",\"PeriodicalId\":145700,\"journal\":{\"name\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.1998.770278\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.1998.770278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pitch predictors are important in achieving high-quality speech for linear prediction-based analysis-by-synthesis (LPAS) coders. Multi-tap pitch predictors with vector quantization (VQ) of the predictor coefficients have been adopted in more and more LPAS coders because they can provide high prediction gain. Higher-tap pitch predictors (tap>3) have better performance but they are seldom used due to the high computational complexity of vector quantizing the pitch predictor coefficients. This paper proposes a new VQ scheme for multi-tap pitch predictors, the likelihood error criterion-based vector quantization (LEC-VQ). Experiments show that the proposed VQ method can efficiently reduce the computational complexity while maintaining high speech quality.