feature of speech
英
美
[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。 - 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。 - 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。 - Finally, according to the feature of speech recognition system which is designed in the paper, the principle of DTW arithmetic is discussed to be the recognition method of this system and the simulation process of the recognition voice is done using this method.
根据本文设计的语音识别系统的特点,确定了动态时间归正(DTW)语音识别方法作为本系统的识别方法,并采用该算法对要识别的语音进行了仿真,得到正确的识别结果。 - The feature of the ISD ( Individual Speech Device) is that it adopts direct analogue record and access technique, and that speech signals, in their original forms, are recorded into analogue memory devices directly and can be preserved for a long period.
指出ISD单片语言器件的独特之处,是采用直接模拟存储技术,语音信号以其原本的模拟形式直接存入模拟量存储器中并长远保存。 - The problem of syntactic feature of speech is one of the important contents in syntactic study.
词类的句法特征问题是句法研究中的重要内容之一。 - MFCC feature extraction of speech based on pitch period
基于基音周期的语音MFCC参数提取 - A Study on the Essential Feature of Speech Signals
语音信号基本载体的研究 - 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。 - 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
