实验结果表明：利用多特征组合多分类器的方法可以提高“文本无关”说话人辨认系统的识别率和可靠性。
The experimental results have shown that Combining Multiple Classifiers with different features can result in satisfactory and significant improvement in recognition performance.
说话人识别是最自然的生物特征身份鉴定方式，可分为说话人辨认和说话人确认。
Speaker recognition is the most natural biometric identification technique. It can be divided into two sub-fields: speaker identification and speaker verification.
说话人识别就是从说话人的一段语音中提取出说话人的个性特征，通过对这些个性特征的分析和识别，从而达到对说话人进行辨认或者确认的目的。
Speaker recognition is the task that is used to identify or verify who is speaking by analyzing and recognizing specific information extracted from speakers 'speech.
说话人辨认系统的目的是提取、特征化和辨认表征说话人身份的语音信号信息，因此它在身份验证领域具有广阔的应用前景。
The goal of speaker identification systems is to extract, characterize and identify the information in the speech signal conveying speaker identity.
说话人辨认系统的目的是提取、特征化和辨认表征说话人身份的语音信号信息，因此它在身份验证领域具有广阔的应用前景。
The goal of speaker identification systems is to extract, characterize and identify the information in the speech signal conveying speaker identity.
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