{"title":"分形维数改进MFCC的研究","authors":"Pan Mi, Li Wang","doi":"10.1145/3573428.3573436","DOIUrl":null,"url":null,"abstract":"MFCC is widely used in the field of voiceprint recognition, and has achieved remarkable effects. However, MFCC focuses on the short-term spectrum characteristics of speech, while ignoring the self-similarity of speech itself. Fractal has the self-similarity characteristic of non-integer dimension. It is often used to describe the evolution of nature, such as Brownian motion, coastline, rock strata and minerals. Based on MFCC, we try to introduce fractal dimension, which makes up for the lack of self-similarity of MFCC. The experimental results show that compared with MFCC, the fractal dimension modified MFCC (FDMFCC) has improved accuracy and stability.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Fractal Dimension modified MFCC\",\"authors\":\"Pan Mi, Li Wang\",\"doi\":\"10.1145/3573428.3573436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MFCC is widely used in the field of voiceprint recognition, and has achieved remarkable effects. However, MFCC focuses on the short-term spectrum characteristics of speech, while ignoring the self-similarity of speech itself. Fractal has the self-similarity characteristic of non-integer dimension. It is often used to describe the evolution of nature, such as Brownian motion, coastline, rock strata and minerals. Based on MFCC, we try to introduce fractal dimension, which makes up for the lack of self-similarity of MFCC. The experimental results show that compared with MFCC, the fractal dimension modified MFCC (FDMFCC) has improved accuracy and stability.\",\"PeriodicalId\":314698,\"journal\":{\"name\":\"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3573428.3573436\",\"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 2022 6th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573428.3573436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MFCC is widely used in the field of voiceprint recognition, and has achieved remarkable effects. However, MFCC focuses on the short-term spectrum characteristics of speech, while ignoring the self-similarity of speech itself. Fractal has the self-similarity characteristic of non-integer dimension. It is often used to describe the evolution of nature, such as Brownian motion, coastline, rock strata and minerals. Based on MFCC, we try to introduce fractal dimension, which makes up for the lack of self-similarity of MFCC. The experimental results show that compared with MFCC, the fractal dimension modified MFCC (FDMFCC) has improved accuracy and stability.
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