• In this paper we introduce a speech signal processing platform.

    本文介绍一种语音信号处理工作平台。

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  • 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。

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  • CIS algorithm of cochlear implants' speech signal processing is achieved through hardware method.

    文中采用硬件方法对人工耳蜗语音信号处理的CIS算法加以实现。

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  • Based on the recently developed chaos and fractal theories, this paper introduces new methods for speech signal processing.

    本文旨在将新兴的混沌、分形理论引入语音信号处理。

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  • The speech source localization technology based on microphone array has been abroad applied to communication and speech signal processing.

    基于麦克风阵列的声源定位技术在通信、语音处理等领域得到广泛的应用。

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  • This paper presents the principle, definition and EASI algorithm of ica, and describes the application of the algorithm in the field of speech signal processing.

    介绍了ICA的原理、含义及EASI算法,并仿真了该算法在语音信号盲分离中的应用。

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  • 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。

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  • Speech recognition is a hot issue in the field of speech signal processing, and always is difficult, especially for the independent person in the noisy environment.

    语音识别是语音信号处理领域的研究热点,它长期以来一直是一项难题,尤其是对于噪声环境下以及非特定人语音识别。

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  • Traditional speech signal processing is based on FFT power spectral analysis, in noisy condition, the spectrum of noise and speech signal are processed in the same way.

    传统语音信号谱特征的提取是基于FFT 的能谱分析方法,在噪音环境情况下,对噪音的频谱成分与语音信号的频谱成分的处理采用“平均主义”的原则。

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  • In speech signal processing, one of the key technologies is the pitch detection algorithm, and its efficiency directly affects the quality of speech's real-time 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了语音信号实时处理的质量。

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  • 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。

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  • With the development of modern science and technology, as a multidisciplinary and comprehensive subject, digital speech signal processing has become a hot research area nowadays.

    随着现代科学技术的蓬勃发展,数字语音信号处理作为一个跨学科、综合性的研究领域已成为当今的一个研究热点。

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  • Nowadays, it has been wildly applied in diverse fields such as speech signal processing, image processing, multi-user communication, array processing and biomedical signal processing.

    目前已广泛应用于语音信号处理、图像处理、多用户通信、阵列信号处理及医学信号处理等许多领域。

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  • Firstly, the digital speech signal processing and some common speech endpoint detection methods are summarized and analysed. Some experiment results and improvements are also shown in the paper.

    本文首先总结了语音信号数字化处理过程,分析了常用的几种端点检测方法,并给出了其实验结果与一些相应的改进。

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  • 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。

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  • 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。

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  • 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。

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  • Speech signal acquisition and processing is the precondition and foundation of human-computer speech interaction.

    语音信号的采集和处理是计算机语音交互的前提和基础。

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  • Moreover, hoarse speech signals of some typical cases are analyzed by the methods of digital signal processing, including FFT, LPC, Cepstrum.

    此外,一些典型情况的嘶哑语音信号被数字信号处理方法分析,这些方法包括FFT、LPC、倒谱技术、伪彩色编码等。

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  • 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。

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  • The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.

    小波分析已经广泛应用于理论数学、应用数学、信号处理、语音识别与合成、自动控制和图像处理与分析等领域。

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  • The paper analyses the noise monitoring function of the textile plant and puts foward to a viable solution to the acquisition, processing and alarm of the noise speech signal.

    文中对纺织厂车间的噪声监测功能进行了分析,对其中噪声等语音信号的采集,处理和报警提出了可行的解决方案。

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  • Presented in this paper is a new signal processing method which is based on a nonlinear local prediction model (NLLP) and applied to speech coding.

    提出了一种新的基于非线性局部预测模式(NLLP)的信号处理方法,并将其应用于话音编码中。

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  • The localization of the speech source is the primary task of the array signal processing, and the basis of spatial filter designing.

    声源定位是阵列信号处理的主要任务之一,是实现空间滤波的基础。

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  • In order to provide an accurate-pitch-cycle speech for pith detection algorithm with varied noise and SNR, we use signal decomposition theory in pre-processing of pitch detection.

    为了在不同噪声、信噪比下为基音检测算法提供更能准确反映基音周期实际变化的输入语音,本文将信号分解思想引入基音检测前端处理中。

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  • Linear prediction analysis is a basic technique for digital processing of speech signal and the base for the technique of digital processing of speech signal to be implemented in many applications.

    线性预测分析技术是对语音信号处理各个领域都具有很高价值的一种基本的语音信号数字处理技术,它是语音信号数字处理技术在很多方面得以实现的基础。

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  • Signal Processing, Speech Processing, Image Processing.

    信号处理,语音处理,图像处理。

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  • Signal Processing, Speech Processing, Image Processing.

    信号处理,语音处理,图像处理。

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