这是一些语音识别的论文，一共有21篇，供大家参考。

本文分析了用经验模态分解( Empirical Mode Decomposition ,EMD) 方法处理非平稳噪声信号的基本原理 , 并利用 EMD 方法有效地消除了高斯白噪声对瞬态散射回波的干扰. 文中以一人工合成瞬态回波为例 ,对本方法的有 效性作了检验.-This paper analyzes the use of empirical mode decomposition (Empirical Mode Decomposition, EMD) method to deal with non-stationary noise signals in the basic principles and methods of use of EMD effectively eliminates the Gaussian white noise on the transient scattering echo interference. Text in one artificial Synthesis of transient echoes as an example of the effectiveness of this method were tested.

这是处理语音信号的程序，从事语音信号等信号处理方面的同志，不妨参考一下-It is a program of audio signal processing which can be reference for engineers who engage in the field .

基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration.

国际上最新的说话人识别算法的源程序，内置语音训练数据-The latest international speaker recognition algorithm source code, built-in voice training data

呼叫中心源程序(CTI)-call centers source (CTI)

基于语音合成法的汉语人名语音库的设计应用-Speech synthesis method based on the names of Chinese Speech Database Design and Application

关于SDK的 语音识别和语音合成的代码。 可以试试啊-On the SDK Speech Recognition and Speech Synthesis code. Try ah

隐马尔科夫工具开发包，用于语音信号的分析和识别。-Yinmarkerf development kit for the analysis and recognition of speech signal.

几乎可以完全所有语音分析， 并能通过插入编程代码执行如何复杂的自定义数据分析运算-almost entirely all voice analysis, and the programming code inserted through the complexity of the implementation of the self-definition of Operational Data Analysis

模式识别中的联机字符识别，包括联机手写数字识别和联机数字、英文字符及汉字识别算法实现源代码-pattern recognition of Character Recognition on-line, including on-line handwriting recognition and on-line digital figures English characters and character recognition algorithm source code