In this paper a method of the speech feature extraction for the ship-bridge speech recognition experiment system is described.
本文描述了在语音识别中特征提取的一种方法。
Speech recognition has wide use in the field of communication and so on. Speech feature parameter extraction is an important part of the speech recognition system.
语音识别在通信等领域有着广泛的用途，其中语音特征参数提取是语音识别系统的一个重要组成部分。
In this paper we introduced the speech signal feature parameters, the speech signal feature parameters selection, and introduced short-term energy, short-term average range extraction.
本文对语音信号特征参数、语音信号特征参数的选择进行了介绍，并介绍了语音信号的短时能量、短时平均幅度的提取。
This text introduced the concept of speaker recognition system firstly, then analyzed a few extraction methods of speech feature parameters in common use and a few models of speaker recognition.
本文首先介绍了说话人识别系统的概念，然后分析了几种常用的语音特征参数的提取方法以及说话人识别的几种模型。
A whole continuous speech recognition system includes four parts: feature extraction, acoustic model, language models and search algorithms, and the thesis is carried out according to them.
完整的连续语音识别系统主要包括四个部分：特征提取，声学模型，语言模型和搜索算法，本文就是根据这四个部分展开的。
The MFCC coefficients and LPCC coefficients are combined as the speech recognition feature extraction parameters.
将梅尔倒谱参数和线性预测参数结合起来作为语音识别的特征提取参数。
Speech feature parameter extraction is an very important part of the speech recognition system, especially in speech training and recognition.
在说话人识别技术中，特征参数的提取对语音训练和识别有着非常重要的作用。
This paper researches on the algorithm of tone feature extraction and proposes a scheme to apply tone information in mandarin speech recognition system.
文章实现了声调特征提取的算法，并主要研究了如何应用这些特征，才能最大限度地发挥声调信息的作用，提高识别系统的性能。
This paper researches on the algorithm of tone feature extraction and proposes a scheme to apply tone information in mandarin speech recognition system.
文章实现了声调特征提取的算法，并主要研究了如何应用这些特征，才能最大限度地发挥声调信息的作用，提高识别系统的性能。
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