The speech signal is a kind of typical non-stationary signal.
语音信号是一种典型的非平稳信号。
Then dimension feature distance could be calculated and used to make a classification for the speech signal.
最后根据特征距离对语音信号类别进行决策分类。
The speech signal is a analog one, and we can perform its digital transmission by sampling, quantizing and coding.
话音信号是一个模拟信号，通过采样、量化和编码，我们可以实现话音信号的数字传输。
As the commonest and most direct method for information expression, the speech signal is widely used in many fields.
语音信号作为信息的最普遍最直接的表达方式，在许多领域具有广泛的应用前景。
So continuous speech recognition in noisy environment is always the hot spot and the difficult spot of the speech signal research.
因此带噪环境的连续语音识别一直是当前语音信号研究的热点和难点。
The proposed method uses the maximum singular value of an cumulant matrix to distinguish between voiced parts of the speech signal and noise.
提出一种采用累积量矩阵的最大奇异值来实现语音端点检测的方法，并引入一种自适应的实现方法。
The goal of speaker identification systems is to extract, characterize and identify the information in the speech signal conveying speaker identity.
说话人辨认系统的目的是提取、特征化和辨认表征说话人身份的语音信号信息，因此它在身份验证领域具有广阔的应用前景。
According to the design first speech signal characteristics of the speech signal encoding method, the based on the AD73311 and AMBE2000 voice Acquisition Module.
硬件设计首先根据语音信号的特点及语音信号的编码方法，提出基于AD 73311和AMBE2000语音采集模块。
The speech intensified technique is an important lesson in the speech signal processing. The purpose is to get back speech signal from the signal containing noise.
语音增强技术一直是语音信号处理中的重要课题之一，语音增强的目的是从有噪声的信号中尽可能完好地恢复原始声音。
This paper studies the speaker identification problem using support vector machine, and presents a SVM training method on large-scale training data according to the speech signal.
本文提出了用支持向量机来解决说话人辨认问题，结合语音信号的特点，解决了大数据量情况下支持向量机的训练问题。
Then the speech signal is pitch adjusted according to this pitch contour, where the original signal with time varying pitch period is converted to a signal of constant pitch period.
然后根据这一轨迹对语音信号进行“基音调整”，将原始的、具有时变基音周期的信号转化为一个具有恒定基音周期的信号。
In this paper we introduced the speech signal feature parameters, the speech signal feature parameters selection, and introduced short-term energy, short-term average range extraction.
本文对语音信号特征参数、语音信号特征参数的选择进行了介绍，并介绍了语音信号的短时能量、短时平均幅度的提取。
The algorithm first uses dynamic threshold algorithm which combines fractal dimension with wavelet transform to denoise the speech signal, it can extract pure speech as far as possible;
该算法首先利用分形维与小波变换相结合的动态阈值算法进行语音去噪，从而提取出尽可能纯净的语音信号；
Firstly, feature vectors are extracted from speech signal, secondly, vector quantization is utilized to design code book, and lastly, improved method is used to recognize the speech signal.
先从语音信号中提取待识别的特征矢量集，再利用矢量量化来设计码本，最后用改进的算法对待识别语音进行辩识。
"I love you." was the signal for the end of the speech, a rather cliched wrap-up. "We love you too." the students yelled back. Liars!
“我爱你们。”这是演讲的结束语，一个相当俗套的结语。“我们也爱你”同学们都呼喊道。骗子们！
While the speech contained no surprises in terms of U.S. policy on the Israeli-Palestinian conflict, it did signal what many here see as a new attitude by the United States.
虽然这篇讲话在美国对以巴冲突的政策方面没有出人意料之处，但是，就像这个地区许多人看到的那样，他的讲话确实是一个迹象，显示了美国的新态度。
While the speech contained no surprises in terms of U. S. policy on the Israeli-Palestinian conflict, it did signal what many here see as a new attitude by the United States.
虽然这篇讲话在美国对以巴冲突的政策方面没有出人意料之处，但是，就像这个地区许多人看到的那样，他的讲话确实是一个迹象，显示了美国的新态度。
Those larger implants should yield much more brain signal data that could in turn improve translation accuracy to the point that thought-to-speech translation could become a viable clinical solution.
这些大型的植入电极应当可以获取到更多的脑波数据来提高翻译的准确性，或许思维-语言翻译的临床应用将变得切实可行。
To hide information in speech signal, which is a special kind of audio signals, one must consider the characteristics of human audio system.
语音信号作为一种特殊的信息隐藏载体，在其中进行信息隐藏时必须充分考虑人类的听觉特性。
Now automatic speech recognition (ASR) is not a simplex signal processing. The natural language processing is more and more regarded in Chinese ASR.
汉语语音识别的研究越来越重视与语言处理的结合，语音识别已经不是单纯的语音信号处理。
There is long time of speech signal processing and it presents the extensive practical field.
语音信号处理有广泛的应用领域，也有较长的研究历史。
Speech recognition, which focuses on speech as object, is an important research direction of speech signal processing and a primary technology to realize the communication between human and machines.
语音识别是以语音为研究对象，是语音信号处理的一个重要研究方向，是实现人机通信的主要技术。
Always, the processing of the audio frequency signal is mainly concentrated on speech processing, such as speech recognition and talks identify etc.
一直以来，音频信号的处理主要集中于语音识别、说话者识别等语音处理方面的研究。
The technique of speech synthesis is used in the information announcement system of residential quarters, and the voice is transferred by digital signal.
将语音合成技术应用于居住小区信息发布系统，采用数字信号传输语音。
Visual information in the speaker's mouth region is also an important speech information source except for acoustic signal source.
除声音信息通道外，唇动视觉信息可以作为一种重要的语音理解源。
So, in this chapter, the basic principle and algorithm of LPC for speech signal have been discussed in detail.
所以这一章较为详细地讨论了语音信号线性预测编码的基本原理和算法。
The function of the speech processor lies in dealing with speech signal and producing the pulse which electrodes need to stimulate cochlea.
语音处理器主要作用在于声音的采集处理和产生电极所需的电刺激信号。
The autocorrelation pitch detection algorithm is the key technique for speech signal processing, and its efficiency directly affects the quality of real-time speech processing.
自相关基音检测算法是语音信号处理的关键技术，算法的效率直接影响语音信号实时处理的质量。
The chaotic communication system is applied to speech communication with analysis of the selection of the drive period and the input information signal amplitude.
系统设计中详细讨论了间歇驱动周期和输入信号比例放大系数的恰当选取。
The chaotic communication system is applied to speech communication with analysis of the selection of the drive period and the input information signal amplitude.
系统设计中详细讨论了间歇驱动周期和输入信号比例放大系数的恰当选取。
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