说话人识别技术属于生物认证技术的一种，是一项根据语音波形中反映说话人生理和行为特征的语音参数来自动识别说话人身份的技术。
Speaker recognition is a kind of biological certification technology and it makes use of the speech coefficients which represent the speaker's physiological and physical feature to identify speaker.
提出了利用概率DP匹配算法进行说话人识别的的设想。并给出了运用TMS320C 5416实现说话人自动识别系统的方案。
A probability DP matching algorithm was proposed to realize speech speaker recognition and TMS320C5416 was used to realize auto speaker recognition system.
实验结果表明该系统具有识别精度高、速度快等特点，是一种有效的说话人自动识别的实现方法。
This system can also be used in the real-time speaker recognition. The effectiveness of the proposed method has been confirmed by experiments.
实验结果表明系统具有识别精度高、识别速度快等特点，是一种有效的说话人自动识别的硬件实现方法。
The experiment result reveals to be with high recognition rate, real-time, and with little memory consumption, so this system is an effective hardware realization.
实验结果表明系统具有识别精度高、识别速度快等特点，是一种有效的说话人自动识别的硬件实现方法。
The experiment result reveals to be with high recognition rate, real-time, and with little memory consumption, so this system is an effective hardware realization.
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