( 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。
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。
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。
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
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。
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。
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。
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
A Study on the Essential Feature of Speech Signals 语音信号基本载体的研究
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。
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
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 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。
Emotional Feature Analysis and Emotion Recognition of Speech 语音信号中情感特征的分析和识别
MFCC feature extraction of speech based on pitch period 基于基音周期的语音MFCC参数提取
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。
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)。
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。
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 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。
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。
According to the simulated results, the power spectrum of ARMA model is more accurate than that of AR model, which is more suitable to reflect the feature of speech signal. ( 4) ARMA model is used in CELP. 由仿真可知,ARMA模型比AR模型的功率谱更加准确,更适合描述语音信号的特性。(4)将ARMA应用到CELP算法中。
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。
In the new model is established, the speech recognition system, the selection of the speech signal of speech signal feature extraction and recognition of speech signal analysis. 在新的模型下,建立了语音分析识别系统,对所选取的语音信号进行特征参数提取和语音信号分析识别。
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。
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。
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。
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。
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。