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.
多编码环境下的说话人确认常常遇到训练和测试语音编码不匹配问题，导致性能显著下降。
The code mismatch problem in speaker verification systems in multi-code environment always causes significant performance deterioration.
对于45个说话人、非同期录音、用长度为6的随机数字串做确认，得到了错误拒绝率0．0％和错误接受率0．0098％的识别结果。
Using the strings of 6 random digits, the 0.0% false reject rate and 0.0098% false accept rate are resulted for 45 speakers.
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.
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