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。
Speaker adaptation is one of the effective approaches to improve the performance of speaker-independent speech recognition.
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。
A novel speaker adaptation method named maximum likelihood model interpolation (MLMI) is proposed.
研究了说话人自适应技术和说话人归一化技术，并提出了将两种技术相结合的思想。
Both the speaker adaption technique and speaker normalization technique are investigated, and then the idea of combining the two techniques is brought forward.
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。
A novel model-based speaker adaptation algorithm, support speaker weighting(SSW), was proposed for rapid speaker adaptation in speech recognition systems.
该文提出一种与文本无关的自适应说话人确认方法。
In this paper, a novel adaptive text independent speaker verification method is proposed.
该方法根据自适应消噪原理，利用两只传声器采集多个说话人的混合语音，进行分离试验。
The method is derived from the principle of adaptive noise cancelling, which uses two microphones to collect several speaker's mixed-speech signals for separation tests.
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。
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.
应用推荐