feature of speech
英
美
[网络] 演讲特点
双语例句
- Difference technology can express the dynamic feature parameters of speech.
差分技术可以体现语音特征参数的动态特征。 - 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 - Objective To compare between two methods of speech input, with the aim of providing a reference for further research of phonetic feature of Chinese pathological speech.
目的比较不同语音输入法的异同，为进一步认识汉语病理性语言的音声特征提供参考。 - 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。 - 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； - 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； - 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。 - 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。 - 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。 - 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