{"title":"A robust speaker dependent algorithm for isolated word recognition","authors":"F. Beritelli, S. Casale, S. Serrano","doi":"10.1109/ICDSP.2002.1028257","DOIUrl":null,"url":null,"abstract":"The paper deals with a simple speaker-dependent (SD) isolated word recognition (IWR) system based on template-based pattern matching. Different algorithms for storing and calculating the distortion between models and examples of words to be recognised are analysed. More specifically, the paper proposes a new algorithm that enhances performance with a slight increase in computational load and the amount of memory needed to store the models as compared with a traditional VQ-based approach. The results obtained in tests are given in terms of recognition rate, using the TIMIT-46 database with various type of background noise and different SNRs.","PeriodicalId":351073,"journal":{"name":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2002.1028257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper deals with a simple speaker-dependent (SD) isolated word recognition (IWR) system based on template-based pattern matching. Different algorithms for storing and calculating the distortion between models and examples of words to be recognised are analysed. More specifically, the paper proposes a new algorithm that enhances performance with a slight increase in computational load and the amount of memory needed to store the models as compared with a traditional VQ-based approach. The results obtained in tests are given in terms of recognition rate, using the TIMIT-46 database with various type of background noise and different SNRs.
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