feature of speech
英
美
[网络] 演讲特点
双语例句
- 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。 - Design and analysis of acoustic feature for corpus of speech synthesis
语音合成语料库的设计与声学特征分析 - 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。 - The colloquialism is the most distinctive feature of the host's verbal speech and the host's gestures, which should conform to the plain, authentic, natural and friendly context, are closely associated with the host's refinement and creativity.
播报的口语化是电视新闻节目主持人有声语体构成的最大特色，主持人的体态语体必须符合新闻节目朴素、真实、自然、亲切的语境，同时与主持人的内在修养和创造性密切相关。 - 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。 - 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。 - 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 feature distribution of speech and non-speech, and the form of change, are examined for speech detection.
介绍和提出了一种基于x~2分布的突变检测和一种语音/非语音决策树； - 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）。 - Searl considers the intentionality as the primary feature of speech act, holding that the illustration of language meaning is inseparable from intentionality.
塞尔认为意向性是言语行为的基本特征，要想阐释语言的意义，必须研究意向性。