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。
A baseline system of keyword spotting based on Continue Hidden Markov Model (CHMM) is constructed.
基于连续隐马尔可夫模型(CHMM)框架的非特定人关键词识别基线系统的构建。
The principle for resolving ambiguity in dual baseline system is analyzed by using theorem of remainder and the concept of imaginary array is presented.
对双基线系统余数定理解模糊原理作了分析，提出了虚拟阵元概念，清晰地解释了基线长度之比为互质数之比的多基线系统的相位解模糊能力。
This paper presents an algorithm for direction finding of the digital signal based on the multi-baseline system and analyzes the principle of digital phase distinguishing.
本文介绍了多基线测向算法，对其解模糊原理及范围作了深入分析，并给出了常见宽带信号的数字鉴相算法。
This paper presents an algorithm for direction finding of the digital signal based on the multi-baseline system and analyzes the principle of digital phase distinguishing.
本文介绍了多基线测向算法，对其解模糊原理及范围作了深入分析，并给出了常见宽带信号的数字鉴相算法。
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