Combining Multiple Classifiers can be viewed as a novel hybrid system to achieve high recognition accuracy for Text Independent Speaker Identification.
组合多分类器可以看作是一种用于获得较高识别效果的混合系统。
Vector Quantization (VQ) is one of the popular codebook design methods for text-independent speaker identification. The key problem of VQ is the design of codebook.
矢量量化(VQ)方法是文本无关说话人识别中广泛应用的建模方法之一，它的主要问题是码本设计问题。
The baseline system we used is text-independent speaker identification system.
所采用的基线系统为文本无关的说话人辨认系统。
These results of the closed-set text-independent speaker identification experiments indicate the proposed model and algorithms improve identification accuracy.
闭集文本自由说话人辨认试验证明了提出的模型及其算法的正确性。
The experiments results of the closed-set text-independent speaker identification system indicate that the proposed models and algorithms improve identification accuracy.
闭集文本自由说话人辨认试验证明了提出的模型及其算法的正确性。
Vector Quantization(VQ)is one of the popular codebook design methods for text-independent speaker identification.
矢量量化（VQ）方法是文本无关说话人识别中广泛应用的建模方法之一，它的主要问题是码本设计问题。
Vector Quantization(VQ)is one of the popular codebook design methods for text-independent speaker identification.
矢量量化（VQ）方法是文本无关说话人识别中广泛应用的建模方法之一，它的主要问题是码本设计问题。
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