搜索资源列表
speech_1VRecognize
- 基于语音特征采样的,实现的特定语音识别代码,准确率90以上75448181VRecognize-Sampling based on voice characteristics, speech recognition to achieve a specific code, more than 90 accuracy 75448181VRecognize
LPC-code
- 基于LPC的语音特征参数分析源码，很好的学习源码-Based on the analysis of the phonetic features parameters LPC rules, good study the source code
mfcc
- 语音信号的初始化及MFCC特征提取算法，附带测试用语音信号-Voice signal and the initialization MFCC feature extraction algorithm, with test speech signal
Mfccvq
- 语音识别中提取mfcc特征矢量和矢量量化的c程序-Mfcc speech recognition to extract feature vector and the vector quantization process of c
ARAC
- 语音识别中的语音信号特征提取和选择是关系到语音识别模型性能的一个重要问题。音信号的特征提取是解决时域信号的数字表问题，特征选择则是在多个特征中选择有的特征为后继的模式划分部分提供数据。-Speech recognition in speech signal feature extraction and selection in relation to the performance of speech recognition model of an important issue. Audio
jiyinjiance
- 语音特征提取的一系列文章，希望对大家有用-Speech Feature Extraction of a series of articles, in the hope that useful
MATLAByysb
- 用MATLAB进行语音识别的特征参数提取，其中包含了lpc和MFCC两种方法，并且测试通过。-Using MATLAB to carry out speech recognition feature extraction, which contains two methods lpc and MFCC, and the test.
safjfd
- 首先分析了典型说话人识别系统的各关键技术，详细分析了矢量量化技术在 说话人识别中的应用，研究了码本训练算法以及说话人判别算法，对算法中各参 数值的选取进行了讨论 其次根据系统的需求建立一个小的语音库，录制语音信 号，并对采集的语音信号进行预处理，检测语音信号的起始端点 在MATLAB 环境下仿真说话人识别系统，验证系统设计方案的可行性:特征提取阶段，提取 语音信号的12阶美尔倒谱系数以及各阶倒谱系数对应的1阶差分倒谱系数，在 训练阶段，采用分裂法和GLA算法相结合的矢量量
Study_of_The_Key_Technology_of_Voice_Conversion.ra
- ：语音转换技术在语音处理领域是一个比较新的研究方向，也是近年来语音领域的研究热点。语音转换技术是指改变源说话人 的语音特征使之具有目标说话人特征的一项：语音转换技术在语音处理领域是一个比本文说明了语音转换的定义，介绍了语音的个性特征，列举了频谱包络的几种主要的转换算法以及韵律转换的主要算法。最后说明了语音转换今后的研究方向。-Voice conversion technology in the field of speech processing is a relatively new re
DTWMFCC
- DTW与MFCC相结合的语音特征提取算法，改进了MFCC的性能-Combination of DTW and the MFCC feature extraction algorithm for voice, improving the performance of MFCC
HMMforspeechrecogntion
- 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
1
- 语音信号处理的课件，包含语音信号的短时分析、特征提取、矢量量化，语音编码、合成与识别-Speech Signal Processing courseware, including short-time speech signal analysis, feature extraction, vector quantization, speech coding, synthesis and recognition, etc.
praat5124_sources.tar
- 汉语语音特征参数提取程序提取特征擦数 汉语语音特征参数提取程序提取特征擦数-Chinese Speech feature extraction procedure
ReseacrhOfAPPlieationOfEmbeddedSPeeehRecognitionon
- 本文首先介绍了目前语音识别的发展现状和主要手段，分析了语音识别中所采用的主要特征参数和比较前沿的研究方向，另外着重讲解了语音识别中最常用隐马尔可夫H(MM)模型，及应用广泛的矢量量化方法(VQ)。接着介绍了嵌入式平台，从软、硬件方面着重介绍了与语音识别相关部分的设计包括硬件及相关驱动程序设计，最后介绍了系统实现方法与测试结果。 -This paper describes the current status of the development of speech recognition a
FFT
- dsp 使用c语言实现通过dsp技术对外部输入的语音数据进行fft计算其频谱，得到其频域特征-dsp by dsp using c language implementation of voice technology on the external input data to calculate the fft spectrum, by its frequency-domain characteristics of
pitch 检测
- 基音周期检测,基音周期是语音信号处理及应用中需要辨识的最基本的语音特征参数之一。-Pitch detection, pitch cycle is speech signal processing and applications need to identify the most basic voice features of one of the parameters.
BP1
- BP神经网络 数据分类 语音特征信号分类-BP neural network classification of data signal classification speech features
lpc
- 利用matlab实现语音的lpc特征提取，可以加入语音后直接使用，仿真图中对特征系数、误差等分析清晰有效-Using the lpc matlab voice feature extraction, can be added directly after the speech, the simulation graph of the characteristic coefficient of error so clear and effective
MFCC
- 介绍语音识别中特征参数mfcc的改进算法，对于语音识别和语音合成有更好的效率-Introduction of speech recognition feature parameters mfcc improved algorithm for speech recognition and speech synthesis for better efficiency
LPCC_MFCC_VAD
- MFCC特征提取算法以及语音端点检测源码-MFCC feature extraction algorithm and voice activity detection source