1. By examining the dialogic nature of speech reporting, Chapter IV tries to demonstrate that the polyphonic or heteroglossic form which characterizes the novel is also an essential feature of public discourse, especially news reports.
首先，任何语篇都具有对话性，因为任何语篇的生成都是针对特定读者的；其次，所有语篇的生成都是以作者经历其他语篇为前提的；最后，语篇往往产生于作者对其他语篇的反应，而且作者也期待他人对自己的语篇作出回应。
2. Shakespeare developed this feature, and also the potential of blank verse for abrupt and irregular speech.
莎士比亚开发此功能，也可能无韵诗突发的，不规则的讲话。
3. feature of speech
3. Based on idempotency of morphological filter, clean speech feature coefficients are extracted using morphology predistortion method.
实验结果表明，这种滤波器较好地保持了语音信号形状并使信号得到增强，效果优于形态滤波器。3。
4. The system consists of three components: a visual front end module, a visual feature extraction module and a speech recognizer module.
本文首先介绍了目前唇读研究的现状与发展水平，详细阐述了唇读研究的内容和方法，以及唇读研究的意义。
5. In this study, we also use machine learning and statistic methods for speech recognition. Feature analysis with the clean speech data is proceeded through a series processes, such as: digitization、frameing、endpoint detection、pre-emphasis、hamming window、mfcc. After those steps, we identify speech parameters from training Hidden Markov Models. During recognition phase, an estimate of the bias was computed for each test utterance and subtracted from it. These approaches minimize mismatches and reach better result of recognition accuracy.
本研究运用到机器学习的理论与统计方法，首先将乾净的语音资料经过数位讯号的处理，例如：声波数位化、取音框、端点侦测、预强调、加窗、梅尔倒频谱等前置处理，之后获得的特徵参数，透过隐藏式马可夫模型训练出乾净语音的模型，在测试语音中，首先针对不同的噪音语音，进行隐藏式马可夫模型的参数调整，以降低不匹配的现象，而达到较佳的辨识结果。
6. feature of speech的反义词
6. The experiment results indicate that it can be applied to the reconstruction and feature extraction of speech signals.
实验结果表明，该方法可用于语音信号重建与特征抽取。
7. Part Ⅱ studies the compression of dimension of speech feature.
第二部分研究语音信号特征维数的压缩问题。
8. Intentionalization is the basic feature of speech act, represented by the basic principle of intentionalism in language use.
合意性是言语行为的基本特性。
9. The experiment makes clear vowel paragraph NAQ value is a kind of speech affection feature that has differentiate power.
实验表明元音段的NAQ值是一种具有判别力的语音情感特征。
10. Linguistics pertaining to a feature of speech that extends over more than a single speech sound.
与语音特征有关系的超语段语音。
11. The hybrid approach using neural network to generate feature representations of speech for HMM.
利用神经网络来为HMM提供语音特征表示的语音识别方法。
12. feature of speech
12. However, in today - when the pressure is everywhere, and when the threat is not the case, this feature means that people only pay a formal visit in the coming stage quasi-wife''s parents and his speech more difficult to focus on the work of the former.
但是在今天--当压力无处不在，而威胁并非如此时，这个功能只意味着人们在即将拜见准岳父母和登台演讲前更难专注于工作。
13. Objective To study the feature of speech and Chinese character on basal ganglia language disorder, and approach the possible mechanism of neuropsychology.
目的通过对基底节病变时患者语言障碍及汉字书写特点的研究，探讨其可能的神经心理学机制。
14. These insulting swears can be name calling or wishing someone harm, so it''s no wonder they are often a defining feature of hate speech, verbal abuse, sexual harassment and obscene phone calls.
这些不敬的粗口可以使骂人或者诅咒某人受到伤害，因此，毫不奇怪，他们往往是界定怨恨言论、言语暴力、性骚扰和淫秽电话的标志。
15. First introduces the basic principle of speech recognition, then expatiate the basic principle and algorithm of the hidden markov models from feature extraction, acoustic model and pattern matching three aspects. Introduce finally the realization of the embedded speech recognition system based on hidden markov models.
文中首先介绍语音识别的基本原理，然后从特征提取，声学模型和模式匹配三个方面阐述隐马尔科夫模型的基本原理和算法，最后介绍了基于隐马尔科夫模型的嵌入式语音识别系统的实现。
16. For extracting the feature argument of voice well, it needs take the useful speech section firstly, this paper adopt a endpoint detection that based on short-term energy and zero finite difference method.
为了较好地提取语音特征参数，首先要获得有效的语音段，本文采用的是基于短时能零差分法的端点检测方法。
17. 公共查询·英语单词
17. 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
18. feature of speech的意思
18. Speech feature extraction and distance measurement method is one of the important areas in speech recognition research.
语音特征抽取和距离量度是语音识别中的一个重要研究课题。
19. Well, it appears that an audio podcast has the capability of hacking Windows Vista? ? speech recognition feature.
它的表现形式为语音播客通过语音识别特征有破解Windows Vista的能力。
20. The method evaluates the parameters of the joint distribution using the expectation maximization (EM) algorithm. The minimum mean squared error (MMSE) estimator for the speech feature parameters in spectrum-domain based the prior probability distribution is to enhance the correctness of speech recognition.
该方法采用期望最大化（EM）算法来估计联合分布参数，基于语音和噪声的先验概率密度，在倒谱域中对语音特征参数进行最小均方误差预测（MMSE），以提高语音识别精度。