"We do not seek to adopt a model already enjoyed by other countries," she said in a speech to foreign diplomats in London.
她在伦敦一场对外国外交官们的讲话中说道：“我们不寻求采取一个他国已经享有的模式。”
The quality of the synthesized speech by this approach is rather high even though the model precision is low.
即使在模型精度不高的情况下，该方法也能得到合成质量比较好的语音。
As one of the current most potential low bit rate speech coding schemes, waveform interpolation model with its high performance has been paid more and more attention.
波形内插语音编码模型作为当今最具潜力的低速率语音编码方案之一，因其良好的性能，越来越受到人们的重视。
This paper addresses the problem of speech recognition under telephone channel conditions using data simulation method and HMM(Hidden Markov Model)adaptation.
该文研究了基于数据模拟方法和HMM（隐马尔科夫模型）自适应的电话信道条件下语音识别问题。
A new method to synthesize formant targeted sounds based on speech production model and RTLA articulatory synthesis model is studied.
提出基于语音生成模型和发音模型RTLA合成模式实现以共振峰轨迹为目标的语音合成的新方法。
The synthesis model is implemented with scattering process derived from reflection-type line analog of vocal tract system according to the acoustic model of speech production.
该方法采用了基于发音声学原理的反射型传输线模型来实现语音合成器。
This paper describes the use of multi-layer perception model of neural network in speech recognition.
本文研究神经网络的多层感知器模型在语音识别中的应用。
In this paper, we use full pole model to obtain speech signal LPC, then deduce it's LPCC, and we use the LPCC difference to describe speaker's track dynamic movement.
本文应用全极点模型，提取语音信号的线性预测系数，并推导出其倒谱系数，获得线性预测倒谱差分，用以描述说话人声道的动态变化。
In order to solve these problems, we proposed a single feature vector recognition model based on whole time-frequency information structure of digit speech.
为了解决这些问题，我们提出了基于数字语音时频信息整体结构的单特征向量识别模型。
In this thesis, we design such a monaural speech segregation system based on an auditory perceptual model.
本论文中，我们设计一个基于听觉感知模型的单耳语音分离系统。
A framework model of independent speech recognition system based on the flexible and extensible architecture is put forward, and some correlative theories are introduced.
提出了一个柔性可扩展体系结构非特定人语音识别系统的框架模型，介绍了相关实现原理。
By using full pole model, we obtained speech signal LPC, then deduced it's LPCC, and we used the LPCC difference to describe speaker's track dynamic movement.
通过应用全极点模型，提取语音信号的线性预测系数，并推导出其倒谱系数，获得线性预测倒谱差分，用以描述说话人声道的动态变化。
The result of experiments show that resynthesized speech signals form the its correlogram by auditory model inversion is nature and robust in noisy environment.
实验结果表明，我们通过听觉模型反演从信号的自相关图谱中恢复出的语音信号，具有较好的自然度和良好的噪声鲁棒性。
The sinusoidal representation of speech signal and a cochlear model are used to extract speech parameters in this paper, and a speech analysis/synthesis system is developed using the model.
本文采用语音信号的正弦表示方法并利用耳蜗模型提取了语音信号的基本特征参数，建立了一个语音分析／合成系统。
The method of auditory model inversion given in this paper could be used widely in speech enhancement field.
论文提出的听觉模型逆变换方法可应用于语音增强等领域。
Energy-spectrum entropy and subharmonic-harmonic rate methods were used to analyze speech based on speech sinusoidal model.
基于语音正弦模型，采用能量谱熵和子谐波谐波比率方法进行语音分析。
Using this model, together with some necessary post-process work, it can synthesize smooth, realistic face speech animation independent of classification of language only with speech signal.
使用该模型，加上一些必要的后期处理工作，就可以通过输入的语音信号合成语种无关的、平滑的、并富有真实感的人脸语音动画。
Human-ma-chine interlocution of Smartpanda System is implemented by means of speaker independent continuous speech recognition technology and dialogue model.
该系统利用大词汇量非特定人连续语音识别技术与口语对话模型实现了智能熊猫系统的人机知识问答。
In this paper, a Chinese isolated word recognition system is established based on the source-filter generation model combined with the acoustic characteristics of whispered speech.
本文根据耳语音信号发音模型，结合耳语音的声学特性，建立了一个汉语耳语音孤立字识别系统。
Furthermore it is very important that we use language model, syntax and accidence model in middle or big glossary continuous speech recognition.
而语言模型、语法及词法模型在中、大词汇量连续语音识别中是非常重要的。
In Austins (1962) tripartite model of Speech Act Theory, perlocution is often neglected or even excluded from the domain of linguistics by most researchers.
在奥斯汀（1962）的言语行为三分说中，取效行为常常被研究者忽视甚至排除出语言学的研究范围。
This paper also introduces HMM model and speech digital signal processing associated with speech recognition .
理论上详细介绍了HMM模型及与语音识别相关的语音数字信号处理。
This paper shows that indirect speech act is metonymic by nature within the framework of speech act Scenario and Event Cognitive Model.
文章在“言语行为场景”和“事件域认知模型”理论框架内阐述间接言语行为的转喻性质。
Based on speech parameter model, a novel approach to embed secret speech into open speech is proposed in this paper.
基于语音参数模型，该文提出一种将保密语音隐藏在公开语音中的信息隐藏算法。
It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model (HMM) with multi-layer perceptron (MLP).
研究适用于隐马尔可夫模型(HMM)结合多层感知器(mlp)的小词汇量混合语音识别系统的一种简化神经网络结构。
As the incomplete applicability of Levelt's model is evident to the speech production of simultaneous interpretation, suggested extension of the original model is developed after the data analyses.
数据分析的结果发现莱威尔特的模型对同声传译的言语产出具有不完全适用性，作者从而对模型进行了拓展。
This paper takes advantage of HMM's statistic characters. With a little modification on HMM structure, it gets a mapping model from speech to image.
利用HMM的统计特性，对HMM模型结构进行改动，使其成为人脸语音动画合成中语音特征到图像特征的映射模型。
This thesis intends to improve the performance of IMBE speech vocoder under noisy enviroment by the combination of speech enhancement techniques with the MBE speech model.
本文试图将语音增强技术与MBE模型相结合以提高声码器抗噪声的性能。
Objective To evaluate the effect of model of triunity speech training in promoting speech development of children with cleft palate.
目的：评价家庭语音训练模式对腭裂术后患者语音康复的干预效果。
Objective To evaluate the effect of model of triunity speech training in promoting speech development of children with cleft palate.
目的：评价家庭语音训练模式对腭裂术后患者语音康复的干预效果。
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