{"title":"矢量量化固件的声学前端使用TMS32020","authors":"A. Ciaramella, G. Venuti","doi":"10.1109/ICASSP.1987.1169338","DOIUrl":null,"url":null,"abstract":"Here we describe the firmware implementation of an acoustical front-end, performing the vector quantization of Discrete Cosine Transform (DCT) for a speech recognition system. This firmware runs on a single TMS32020 signal processor chip and is characterized both by a substantial real time performance and by a good accuracy.","PeriodicalId":140810,"journal":{"name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","volume":"268 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Vector quantization firmware for an acoustical front-end using the TMS32020\",\"authors\":\"A. Ciaramella, G. Venuti\",\"doi\":\"10.1109/ICASSP.1987.1169338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Here we describe the firmware implementation of an acoustical front-end, performing the vector quantization of Discrete Cosine Transform (DCT) for a speech recognition system. This firmware runs on a single TMS32020 signal processor chip and is characterized both by a substantial real time performance and by a good accuracy.\",\"PeriodicalId\":140810,\"journal\":{\"name\":\"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"268 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1987.1169338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1987.1169338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vector quantization firmware for an acoustical front-end using the TMS32020
Here we describe the firmware implementation of an acoustical front-end, performing the vector quantization of Discrete Cosine Transform (DCT) for a speech recognition system. This firmware runs on a single TMS32020 signal processor chip and is characterized both by a substantial real time performance and by a good accuracy.