feature of speech
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[网络] 演讲特点
双语例句
- 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。 - 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。 - 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。 - The system performance of dialect identification depends on feature extraction of the speech signal, and the reasonable selection of characteristic parameters can greatly improve the recognition rate on dialect identification system.
方言辨识系统性能好坏取决于语音信号特征的提取，合理地选择特征参数对方言辨识系统的识别率有很大的提高。 - Extraction and Analysis of the Feature of Complex Wavelet Speech Spectrogram Based on Mathematical Morphology
基于数学形态学的复子波语音谱图特征提取与分析 - Using the invariable characteristics of PCNN time series and entropy series of Spectrogram, people can extract the feature of speakers speech and recognize the speakers rapidly and effectively.
该方法将语谱图输入到PCNN后得到输出图像的时间序列及其熵序列作为说话人语音的特征，利用它的不变性实现说话人识别。 - 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。 - 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。 - According to the simulated results, the power spectrum of ARMA model is more accurate than that of AR model, which is more suitable to reflect the feature of speech signal. ( 4) ARMA model is used in CELP.
由仿真可知，ARMA模型比AR模型的功率谱更加准确，更适合描述语音信号的特性。（4）将ARMA应用到CELP算法中。 - 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。