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matlab语音识别算法,包括预处理,特征提取,训练,识别算法,基于hmm模型-Matlab speech recognition algorithms, including preprocessing, feature extraction, training, recognition algorithm based on model hmm
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:建立了一个基于HMM 算法的非特定人语音识别系统,阐述了具体实现过程,包括预处理、特征参数的提取及模板的匹配-: The establishment of a non-specific algorithm based on HMM Speech Recognition System, describes a specific implementation process, including preprocessing, feature extraction and template para
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语音识别预处理函数,简单的算法,用于对语音预处理的了解。matlab代码-Speech recognition preprocessing function, a simple algorithm for preprocessing of speech understanding. matlab code
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Implementation of a speech codec based on coding of speech at 8 kbit/s
using conjugate-structure algebraic-code-excited linear-prediction (CS-ACELP)
- We took .wav files that is sampled at 8000 Hz using 16-bit linear PCM. The encoding process i
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这是一段语音识别的c++源程序,包括预处理,端点检测,线性倒谱系数,dtw算法模式匹配。-This is a speech recognition c++ source, including preprocessing, detection, linear cepstrum, dtw algorithm for pattern matching.
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这是我的毕业设计的完整程序,非常有参考价值,包括数据,预处理,训练,识别,包括眼马尔科夫模型和神级网络,马上毕业了,传上做个纪念-This is my graduation project of the complete program is very valuable, including data, preprocessing, training, recognition, including the eye-level Markov model and the God of the net
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本段程序包含了语音识别预处理中的采样、量化、预加重、分帧加窗等程序,另外添加了端点检测需要的短时能量、过零率的程序,经实验测试,运行结果符合理论期望-Procedures in this paragraph contains the voice recognition preprocessing sampling to quantify the pre-emphasis, framing windowed program, the addition of short-term energy ne
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这是一个语音情感识别预处理时分帧的源代码,毕业设计专用 -This is the source code of a speech emotion recognition preprocessing time division frames, graduation design
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本 文 首先 介绍了语音识别的研究和发展状况,然后循着语音识别系统的处理过程,介绍了语音识别的各个步骤,并对每个步骤可用的几种方法在实验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取,包括括语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取,采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别
-This paper first introduces the research and
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speech signal preprocessing
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Preprocessing and trainning code for a speech recognition in real time in matlab. Look for extra.zip to have the GUI in matlab
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语音识别原代码 预处理 特征参数提取 匹配 识别 -Speech recognition source code matching recognition preprocessing feature extraction
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带噪语音的产生最小二乘法拟合消除趋势项的函数
语音信号的预处理一——消除趋势项和直流分量-Generate the least squares method to eliminate noisy speech function fitting term trends in the speech signal preprocessing one- eliminating the trend term and DC components
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vq矢量量化,对说话人进行识别,内置有语音样本,识别率高达90 。对语音信号进行读取,预处理,特征参数提取,向量量,训练,对比识别。-vq vector quantization for speaker identification, built-in voice samples, the recognition rate of 90 . Read the speech signal, preprocessing, feature extraction, the amount of vector
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preprocessing step codes for speech enhancement
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带噪语音和预处理,消除趋势项和直流分量,,各种滤波器设计-The speech with noise and preprocessing, eliminate trend term and dc component, and a variety of filter design
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通过基于HMM的语音识别系统的基本结构,详细介绍了语音信号采集、预处理、MFCC特征参数提取、HMM训练和HMM识别等主要模块的基本原理 并针对实际应用中HMM存在的模型初始化和数据溢出等问题进行分析,引入了一些能提高系统性能的相应措施。-By the basic structure of HMM-based speech recognition system, details the basic principles of audio signal acquisition, preproces
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基于matlab采集语音信号;实现语音预加重、过零检测、分帧等预处理;实现可视化界面设计,完成语音预处理过程显示;-Matlab based speech signal acquisition, voice pre emphasis, zero detection, sub frame, etc. preprocessing visual interface design, complete voice preprocessing process display
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摘 要:本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗(汉明窗)、端点检测;特征提取的参数是梅尔频率倒谱系数MFCC。
该语音系统采用的是动态时间伸缩算法(DTW),研究对象是特定人的语音识别,并在MATLAB平台上实现。为了进行后续研究,首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件,并转化成 “.wav”格式的文件。-Abstract: This thesis
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语音信号的分析及前期的预处理,包括语音信号的一些特征;预处理包括前期的预滤波、小波降噪、预加重、加窗分帧、语音端点检测。-Speech signal analysis and pre processing, including some of the features of the speech signal preprocessing including pre filtering, wavelet noise reduction, pre emphasis, plus window fram
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