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SPEECH RECOGNITION SYSTEM USING TECHNOLOGY FOR IMPLICITLY ADAPTING TO SPEAKER

机译:使用隐式适应说话者技术的语音识别系统

摘要

PROBLEM TO BE SOLVED: To attain a speech recognition method for successfully functioning even before generation and during the generation of an SD acoustic model depending on a speaker to whom unmanaged learning is applied.;SOLUTION: In order to give a speech recognition level at least equal to pure SI acoustic models 230, 232 which do not depend on a speaker, at least one SI acoustic model 230, 232 and at least one SD acoustic model 234 which depends on the speaker are combined and used. Then, acoustic templates in at least one or more acoustic models are updated by continuously performing unmanaged learning. After that, the updated SD acoustic model 234 is combined with at least one SI acoustic model 230, 232. Thus, high speech recognition performance is obtained even while a speech recognition test is performed.;COPYRIGHT: (C)2013,JPO&INPIT
机译:要解决的问题:要实现一种语音识别方法,该方法甚至可以在SD声学模型生成之前和生成过程中成功运行,具体取决于应用了不受管理的学习的说话者;解决方案:至少要给出语音识别级别等于不依赖于扬声器的纯SI声学模型230、232,并且组合和使用了至少一个依赖于扬声器的SI声学模型230、232和至少一个SD声学模型234。然后,通过连续执行非托管学习来更新至少一个或多个声学模型中的声学模板。之后,将更新的SD声学模型234与至少一个SI声学模型230、232组合在一起。因此,即使执行语音识别测试,也可以获得较高的语音识别性能。版权所有:(C)2013,JPO&INPIT

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