feature of speech
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美
[网络] 演讲特点
双语例句
- A Study on the Essential Feature of Speech Signals
语音信号基本载体的研究 - Speech recognition has wide use in the field of communication and so on. Speech feature parameter extraction is an important part of the speech recognition system.
语音识别在通信等领域有着广泛的用途，其中语音特征参数提取是语音识别系统的一个重要组成部分。 - 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）。 - 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 - 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。 - 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。 - 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。 - 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； - 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。 - 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。