辨识的应用 语者辨识的方法 「电话声纹追踪系统速度与辨识率 结论 4 何谓语者辨识 语者辨识(Speaker Recognition): 以语音的特性 来进行语者的身份识别或确认: 语者识别(Speaker Identification):以语音来辨 识语者的身份 语者确认(...
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对于语者辨识,语者特定模型直接用语者的语料借助于期望值最大化算法(EM)来训练,辨识算法采用了最大事后概率法则(MAP);
For speaker identification, Expectation Maximization Algorithm (EM) is adopted to train speaker dependent model, and afterwards recognize speaker according to Maximum a Posteriori Criterion (MAP).
本发明提出的语音辨识方法系使用语者分群模型来处珀因语者特性的差异所产生的辨识问题。
A speaker cluster model is used to manage recognition problems caused by between-speaker variability.
在非特定语者语音辨识中,语者特性的差异可说是引起辨识错误的主要原因之一。
In speaker-independent speech recognition, between-speaker variability is one of the major resources of recognition errors.
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