feature of speech
英
美
[网络] 演讲特点
双语例句
- 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。 - 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。 - ( linguistics) pertaining to a feature of speech that extends over more than a single speech sound.
（语言学）与语音特征有关系的超语段语音。 - First of all, I analyse the prosodic feature of the news broadcasting speech with the knowledge of acoustic-phonetics. For example, the extending of the syllable duration is the acoustic characteristics of the pre-boundary syllables and the accented syllables.
首先，通过实验的手段分析了新闻播音语言韵律特征的语音声学表现：即音节时长的拉长是边界前音节和重音音节的声学征兆； - 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。 - A Study on the Essential Feature of Speech Signals
语音信号基本载体的研究 - 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 - Study on Robust Feature Extraction Method of Speech and Audio-based Context Recognition
稳健语音特征和音频场景识别方法的研究 - 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。