D. S. Likhachov, J. Ma, N. A. Petrovsky, I. S. Azarov, V. Tsviatkou
{"title":"图像和语音信号处理领域前景广阔的研发成果","authors":"D. S. Likhachov, J. Ma, N. A. Petrovsky, I. S. Azarov, V. Tsviatkou","doi":"10.35596/1729-7648-2024-22-2-55-69","DOIUrl":null,"url":null,"abstract":"An analysis of the prospects for the development of technologies for processing images and speech signals is presented. The main results in these areas obtained in recent years in the relevant scientific schools of Belarusian State University of Informatics and Radioelectronics are presented. It is shown that the use of machine learning technologies in combination with methods of digital processing of images and speech signals can significantly increase the efficiency of systems for their recognition and classification.","PeriodicalId":122672,"journal":{"name":"Doklady BGUIR","volume":"45 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Promising Research and Development Results in the Field of Image and Speech Signal Processing\",\"authors\":\"D. S. Likhachov, J. Ma, N. A. Petrovsky, I. S. Azarov, V. Tsviatkou\",\"doi\":\"10.35596/1729-7648-2024-22-2-55-69\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An analysis of the prospects for the development of technologies for processing images and speech signals is presented. The main results in these areas obtained in recent years in the relevant scientific schools of Belarusian State University of Informatics and Radioelectronics are presented. It is shown that the use of machine learning technologies in combination with methods of digital processing of images and speech signals can significantly increase the efficiency of systems for their recognition and classification.\",\"PeriodicalId\":122672,\"journal\":{\"name\":\"Doklady BGUIR\",\"volume\":\"45 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Doklady BGUIR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35596/1729-7648-2024-22-2-55-69\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Doklady BGUIR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35596/1729-7648-2024-22-2-55-69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Promising Research and Development Results in the Field of Image and Speech Signal Processing
An analysis of the prospects for the development of technologies for processing images and speech signals is presented. The main results in these areas obtained in recent years in the relevant scientific schools of Belarusian State University of Informatics and Radioelectronics are presented. It is shown that the use of machine learning technologies in combination with methods of digital processing of images and speech signals can significantly increase the efficiency of systems for their recognition and classification.