Description: 语音识别（Speech Recognition）是让机器通过识别和理解过程把语音信号转变为相应的文本或命令的技术。在课题中，通过采用DTW（Dynamic time warping, 动态时间伸缩）算法，对实现孤立词的识别进行了初步探讨和研究，实现了在MATLAB软件环境下孤立词语的语音识别，并针对DTW的主要特点及不足做出了总结。-Speech Recognition (Speech Recognition) machines is through recognition and understanding of a process which put the voice signal into the corresponding text or command technology. The issue, through the use DTW (Dynamic time warping, dynamic time telescopic) algorithm to achieve an isolated word recognition conducted a preliminary exploration and study, the realization of the MATLAB software environment isolated words of Speech Recognition and DTW against the main features and deficiencies make summarized. Platform: |
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Author:序号 |
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Description: 语音识别系统中前端PLP参数的提取和处理
孤立词识别系统中几种滤波器组的比较研究
基于Matlab命令字识别系统及实现
基于HTK的命令字识别系统及实现
基于HTK的数字串识别系统及实xian-Speech Recognition System front-end PLP parameters for the extraction and processing isolated word recognition system filters The comparative study based on Matlab command word recognition system based HTK and the command word recognition system and the HTK-based digital identification systems and string it Xian Platform: |
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Author:guoanjia |
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Description: 利用hmm的孤立字（词）语音识别系统，经典的算法，没有图形界面，需要的可以完善一下。-use hmm isolated words (words) speech recognition system, the classical algorithm, no graphical interface, need to be perfect in this. Platform: |
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Author:张维镇 |
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Description: 本程序是用MATLAB编写的孤立词的语音识别的程序，包含mel倒谱分析以及单个词的语音识别。-This procedure is used to prepare MATLAB isolated word speech recognition procedures, including mel cepstrum analysis, and single-word speech recognition. Platform: |
Size: 6144 |
Author:刘永哲 |
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Description: 语音识别的实现,一种基于孤立词.特定人的语音识别的算法.-The realization of speech recognition, based on isolated words. A particular person s speech recognition algorithms. Platform: |
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Author:chenfeng |
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Description: 这个我用matlab写的一个简单孤立词语音识别的程序，其中同过预处理，ＭＦＣＣ提取，和ＤＴＷ算法的比较，如果大家愿意，还可以用这个和ＬＡＢＶＩＥＷ联合编程-Matlab write this I used a simple isolated word speech recognition procedures, which had the same pretreatment, MFCC extraction, and the DTW algorithm, if everyone is willing, but also can use this joint programming and LABVIEW Platform: |
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Author:hu |
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Description: 基于小波包的孤立词语音识别技术，构建了一个关于方向信息的孤立词非特定人语音识别系统。给出了从模型训练到识别的实现过程。-Based on Wavelet Packet isolated word speech recognition technology, to build an information on the direction of non-specific people isolated word speech recognition system. From the model are given training to realize the process of identification. Platform: |
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Author:wangyan |
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Description: 自动语音识别源码对非特定人的孤立词语音识别算法
进行研究。考虑到语音识别技术在嵌入式系统处理能力较弱、存储空间有限的问
题上进行算法的选择和优化，以提高系统的鲁棒性，减少系统的
-Automatic speech recognition source code for non-specific human isolated word speech recognition algorithm research. Taking into account the voice recognition technology in the embedded systems processing capacity is weak, with limited storage space on the issue of algorithm selection and optimization, to improve system robustness, reduce system Platform: |
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Author:cq |
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Description: Matlab下单字语音识别程序。Readme.txt中有使用方法的详细说明。-Vocabulary speech recognition under the program Matlab. Readme.txt in detail using the method. Platform: |
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Author:John |
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Description: 基于矢量量化的孤立词语音识别系统看，性能良好，Matlab 实现！-Based on vector quantization of isolated word speech recognition system to see, good performance, Matlab to achieve! Platform: |
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Author:韩用 |
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Description: 本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition
system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to
complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric
modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a
parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based
Speech recognition system be ported to a real world environment for recording and performing complex
voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The
system is developed such that it can easily be extended to multisyllabic words as well. Platform: |
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Author:Allen |
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Description: The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov
model (HMM). Consider there are n states in the HMM. The particular isolated
speech signal is divided into finite number of frames. Every frame of the speech
signal is assumed to be generated from any one of the n states. Each state is modeled as the multivariate Gaussian density function with the specified mean vector
and the covariance matrix. Let the speech segment for the particular isolated word
is represented as vector S. The vector S is divided into finite number of frames
(say M). The i th frame is represented as Si . Every frame is generated by any of the n
states with the specified probability computed using the corresponding multivariate
Gaussian density model. Platform: |
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Author:Khan17
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