{"title":"The Recognition of Bimodal Produced Speech based on Multi-style Training","authors":"J. Galic, B. Markovic","doi":"10.1109/ZINC50678.2020.9161815","DOIUrl":null,"url":null,"abstract":"In this paper an analysis on the recognition of words from speech database Whi-Spe in normal and whispered phonation, based on the conventional HMM/GMM framework, is presented. The analysis based on multi-style training is performed in the speaker dependent (SD) and speaker independent mode (SI). The analysis showed that a small portion of whisper data in training (10%) is required for the recognition of whisper higher than 90%, for both the SD and SI recognition.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"86 1","pages":"11-14"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ZINC50678.2020.9161815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In this paper an analysis on the recognition of words from speech database Whi-Spe in normal and whispered phonation, based on the conventional HMM/GMM framework, is presented. The analysis based on multi-style training is performed in the speaker dependent (SD) and speaker independent mode (SI). The analysis showed that a small portion of whisper data in training (10%) is required for the recognition of whisper higher than 90%, for both the SD and SI recognition.
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