{"title":"121bps语音识别系统的线性预测码","authors":"P. Patil","doi":"10.21742/ijhit.2020.13.1.04","DOIUrl":null,"url":null,"abstract":"This paper described the recognition of the phonetics related to numericals in Indian regional languages such as Marathi & Hindi by Nearest Neighbour rule. The segmentation is based on the location of the start and end points of the speech. The exact speech boundaries can be located and evaluated for linear predictive codes. The Linear Predictive Codes of the phonetics related to numerical in Indian regional languages such as Marathi & Hindi forms the codebook. The optimum distance between the test and the codebook linear predictive codes can be determined by the Dynamic Time Warping technique. Depending on the distance, the word is recognized by Nearest Neighbour rule. The accuracy of 88% is achieved with highly reduction in the memory requirements & good SNR.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linear Predictive Codes for Speech Recognition System at 121bps\",\"authors\":\"P. Patil\",\"doi\":\"10.21742/ijhit.2020.13.1.04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper described the recognition of the phonetics related to numericals in Indian regional languages such as Marathi & Hindi by Nearest Neighbour rule. The segmentation is based on the location of the start and end points of the speech. The exact speech boundaries can be located and evaluated for linear predictive codes. The Linear Predictive Codes of the phonetics related to numerical in Indian regional languages such as Marathi & Hindi forms the codebook. The optimum distance between the test and the codebook linear predictive codes can be determined by the Dynamic Time Warping technique. Depending on the distance, the word is recognized by Nearest Neighbour rule. The accuracy of 88% is achieved with highly reduction in the memory requirements & good SNR.\",\"PeriodicalId\":170772,\"journal\":{\"name\":\"International Journal of Hybrid Information Technology\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Hybrid Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21742/ijhit.2020.13.1.04\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hybrid Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21742/ijhit.2020.13.1.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear Predictive Codes for Speech Recognition System at 121bps
This paper described the recognition of the phonetics related to numericals in Indian regional languages such as Marathi & Hindi by Nearest Neighbour rule. The segmentation is based on the location of the start and end points of the speech. The exact speech boundaries can be located and evaluated for linear predictive codes. The Linear Predictive Codes of the phonetics related to numerical in Indian regional languages such as Marathi & Hindi forms the codebook. The optimum distance between the test and the codebook linear predictive codes can be determined by the Dynamic Time Warping technique. Depending on the distance, the word is recognized by Nearest Neighbour rule. The accuracy of 88% is achieved with highly reduction in the memory requirements & good SNR.
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