A novel speaker adaptation method named maximum likelihood model interpolation (MLMI) is proposed.
本文提出了一种新的说话人自适应算法———最大似然模型插值。
Speaker adaptation is one of the effective approaches to improve the performance of speaker-independent speech recognition.
说话人自适应是提高非特定人语音识别性能的有效方法之一。
A novel model-based speaker adaptation algorithm, support speaker weighting(SSW), was proposed for rapid speaker adaptation in speech recognition systems.
针对特征语音说话人自适应算法的缺陷，提出了基于结构化特征语音模型的区别性说话人自适应方法。
The eigenvoice approach is an efficient method for rapid speaker adaptation which directs the adaptation according to an analysis of the full speaker vector space.
本征音自适应是一种快速自适应算法，它根据对说话人矢量全空间的本征分析指导参数更新。
The eigenvoice approach is an efficient method for rapid speaker adaptation which directs the adaptation according to an analysis of the full speaker vector space.
本征音自适应是一种快速自适应算法，它根据对说话人矢量全空间的本征分析指导参数更新。
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