科大讯飞语音识别引擎

模拟语音信号的动态范围解压缩算法的matlab源码-Analog voice signal dynamic range compression algorithm solution matlab source

MFCC 参数和 LPCC 参数是说话人识别中两种最常用的特征参数，研究了 MFCC 和 LPCC 参数提取的算法原理及差分倒谱参数的提取方法，采用MFCC、LPCC 及其一阶、二阶差分作为特征参数，通过 k 均值算法与三层BP 神经网络来进行说话人识别。实验结果表明，该方法可以有效提高识别率，同时也验证 MFCC 参数的鲁棒性优于 LPCC 参数

Speaker identification

本文件为语音识别lpc源码中的burg算法部分。该算法简单实用，适合于进行线性预测参数的计算-This document is for lpc-source speech recognition algorithm in the part of the burg. The algorithm is simple and practical, suitable for the calculation of the linear prediction parameters

matlab中的wave文件添加功能，欢迎使用-Matlab the paper added wave function, welcomed the use of

一个测试dtw算法的程序，A program test the dtw-an algorithm testing procedures, test the A program dtw

语音识别系统：根据采集的语音进行文字的输出！-Speech Recognition System: Based on collected voice to text output!

不定长信号合并，％执行信号相加： y(n) = x1(n)+x2(n) ％调用方式：[y,n] = sigadd(x1,n1,x2,n2) ％ y：叠加后的信号序列的序列号，包括n1和n2 ％ x1： 第一个信号序列，序列号为n1 ％ x2：第二个信号序列，序列号为n2(n2可以与n1不同)-Indefinite long-Signal merger, add up to the implementation of signal: y (n) = x1 (n)+ X2 (n) call the way: [y, n] = sigadd (x1, n1, x2, n2) y: Superposition signal sequence after the serial number, including the n1 and n2 x1: the first signal sequence, the serial number for n1 x2: the second signal sequence, the serial number for n2 (n2 with n1 different)

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