feature of speech
英
美
[网络] 演讲特点
双语例句
- On Feature Extraction Algorithm of Radar Object Based on Speech Processing
基于语音处理的雷达目标特征提取算法研究 - Then the influence of the weighting of feature vectors, the time duration of speech segments and the various choose of factor α on the performance of a small open-set text-independent speaker identification system is researched by experiments.
在小规模说话人辨认系统的实验研究中，研究了特征矢量的加权、语音段的时长以及α因子的选择对系统性能的影响。 - In technology, speech features reflecting the physical and action feature of individuals arc distilled from speech and the identity of the speaker is automatically recognized according to these speech parameters.
从技术上主要是从说话人语音信息中提取反映说话人的生理和行为特征的语音参数，并根据这些语音参数自动识别说话人的身份。 - Emotional Feature Analysis and Emotion Recognition of Speech
语音信号中情感特征的分析和识别 - One of the essential feature of intelligent human-machine interface is speech communication. So speech recognition has become an active research area.
智能型人机界面的最基本特征是能进行人机的语音交互，因此语音识别成了当今研究的一大热门领域。 - In order to assess speech quality effectively, a new approach of feature extraction of speech signals, MFSC ( Mel-frequency spectral coefficient), was proposed on the basis of the speech perception model.
为了有效评价通信系统中的语音质量，基于语音感知分析，提出了Mel域上一种新的语音信号特征表示方法&MFSC（美尔谱系数）。 - For the length of feature vectors of speech samples is different, direct cutting and Dynamic Time Warping ( DTW) regulation, are put forward to solve the problem.
提出了直接截取和DTW规正两种方法来解决语音样本特征向量长度不一致的问题。 - And then introduces the functions and key technologies of pre-processing 、 feature extraction pattern matching and post-processing of speech recognition. Improved methods have been proposed in view of problems existed in traditional methods.
然后分别介绍了语音识别的预处理、特征参数提取、模式匹配和后处理阶段的功能及其关键技术，并针对传统方法中存在的问题提出了改进方案。 - This paper uses wavelet theory in noise-robust feature extraction of speech recognition and introduces a feature extraction method based on Gauss wavelet filter. The Gauss wavelet filter with human critical frequency band is obtained by studying human auditory characteristics.
把小波理论应用于抗噪语音识别特征提取，提出了基于高斯小波滤波器的语音识别特征提取方法，通过对人耳听觉特性的研究，按照人耳临界带宽设计了一组高斯小波带通滤波器。 - During simulation experiment, wavelet analysis technique is adopted to extract feature vectors of speech, the results show that SVM and FSVM have both higher correct recognition rate and shorter training time than RBF network.
在仿真实验中，采用小波分析方法提取语音特征向量，识别结果表明，SVM和FSVM比RBF网络具有较好的泛化性能，训练时间也大大缩减。