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: 基于DTW算法的孤立字识别系统。用Matlab编程实现语音信号的端点检测，从原始信号提取有效语音段，从而实现孤立字的识别。-isolated word recognition system. Matlab programming in endpoint detection, signal extraction from the original effective voice, thus achieving an isolated word recognition. Platform: |
Size: 16000 |
Author:朱风 |
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Description: Introduction Applications Comparing Automatic Speech Recognition(ASR) versus image processing About ASR Types of ASR and differences ASR by Hidden Markova Models Overall recognition system Isolated word recognition Platform: |
Size: 244383 |
Author:mano1234 |
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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: |
Size: 23953408 |
Author:guoanjia |
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Description: 基于DTW算法的孤立字识别系统。用Matlab编程实现语音信号的端点检测，从原始信号提取有效语音段，从而实现孤立字的识别。-isolated word recognition system. Matlab programming in endpoint detection, signal extraction from the original effective voice, thus achieving an isolated word recognition. Platform: |
Size: 15360 |
Author:朱风 |
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Description: DTW算法在实现小词汇表孤立词识别系统时既简单又有效 ,在特定的场合下获得了广泛的应用。但DTW算法实
际应用时有许多缺点 ,本文对语音识别数学模型DTW作了深入的研究 ,提出了改进算法-DTW algorithm in small vocabulary isolated word recognition system is simple and effective, in particular occasions to obtain a wide range of applications. However, the practical application of DTW algorithm when there are many shortcomings, this paper, the mathematical model for speech recognition DTW-depth studies were made to improve the algorithm Platform: |
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Author:在式朝 |
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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: |
Size: 18776064 |
Author:wangyan |
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Description: 一个基于DTW的的孤立词的语音识别系统，采用率为800，可以识别六个字左右的短语，是特定人的识别系统。运行时请更改工作目录：工程->设置->调试->更改工作目录即可-The DTW-based isolated word speech recognition system, using rate of 800, can identify words around the phrase, a specific person Platform: |
Size: 754688 |
Author:daiqinghu |
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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: 实现用MFCC作为特证向量的孤立词识别系统-Using MFCC as a special permit vector isolated word recognition system Platform: |
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Author:韩玉强 |
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Description: 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
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算
法，选定动态时间弯折为识别算法，并重点介绍其设计实现。
在 Vi su alC++环境下，设计并实现一个特定人、孤立词语音识别系统，
系统可以识别数字0-9等简单指令。该系统还具备演示、学习功能，可以演
示语音处理的各个步骤，还可以根据需要添加新的指令。
最 后 ， 重点从端点检测算法和动态时间弯折识别算法对系统进行改进。
实验表明，改进后的系统识别率有很大提高，达到95 ，为进一步开发实用
性语音识别系统产品打下了基础。-This article introduced the first speech recognition research and development, and then follow the voice recognition system
Processing, speech recognition, introduced the various steps, each step of the methods available in the real
A post-mortem conducted on the basis of the analysis and comparison. Research on the speech signal pre-processing and feature extraction, including
Digitized voice signals, sub-frame window, pre-emphasis filtering, endpoint detection feature vector in time domain and variable
Eigenvector for the domain. One endpoint detection method using dual-threshold. Through experiments over the selection of characteristic parameters,
The use of 12-order linear prediction cepstral coefficients as recognition parameters. Detailed analysis of the specific operator who isolated word recognition
Law, selected Dynamic Time Warping Algorithm for identifying and focusing on the achievement of its design.
In Vi su alC++ environment, design and realization of a s Platform: |
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Author:周文超 |
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Description: DWT孤立词识别系统的主要代码,是使用C语音实现的-DWT isolated word recognition system code, is to use voice to achieve C Platform: |
Size: 1024 |
Author:张俊男 |
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Description: 本系统是一个在多媒体PC 上实现的孤立词识别系统, 它提取语音的线性预测系数作为特征参数, 并采用Itaku ra 失真测度计算帧间距离, 在识别上则使用了动态时轴弯曲(DTW ) 进行时间匹配。本系统对一般的DTW 法作了改进, 即通过放宽端点限制以得到更好的语音匹配, 克服了一般DTW 法要求语音首尾严格对齐而造成的弊病, 降低了语音端点检测的精度要求。-This system is implemented on a multimedia PC isolated word recognition system, it extracts the voice of the linear prediction coefficient as the feature parameters, and calculated using Itaku ra frame distortion measure distance, in recognition of the dynamic time is used on the shaft bending (DTW ) for time matching. The system has been improved in general DTW method, namely, by relaxing restrictions in order to get a better endpoint voice match, to overcome the sum of the general DTW law requires strict alignment of voice caused by defects, reducing the speech endpoint detection accuracy. Platform: |
Size: 123904 |
Author:static |
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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: |
Size: 309248 |
Author:韩用 |
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Description: Developing an Isolated Word Recognition System
in MATLAB.
Speech-recognition technology is embedded in voice-activated routing systems
at customer call centres, voice dialling on mobile phones, and many other
everyday applications. A robust speech-recognition system combines accuracy
of identification with the ability to filter out noise and adapt to other acoustic
conditions, such as the speaker’s speech rate and accent. Designing a robust
speech-recognition algorithm is a complex task requiring detailed knowledge of
signal processing and statistical modeling. Platform: |
Size: 670720 |
Author:fasterfox |
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Description: DTW算法在实现小词汇表孤立词识别系统时既简单易懂又有效 ，在特定的场合下获的了广泛的应用。但但DTW算法实际应用时有许多缺点 ，本文对语音识别数学模型DTW作了深入的研究 ，提出了改进算法
-DTW algorithm in small vocabulary isolated word recognition system is simple to understand and effective in specific situations have been a wide range of applications. But the practical application of the DTW algorithm has many shortcomings, in depth study of the mathematical model DTW speech recognition, and proposed an improved algorithm Platform: |
Size: 216064 |
Author:xpntt |
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Description: 该文件为基于DTW的孤立词识别系统（特定人、小词汇量，未采用鲁棒语音识别技术）-The document DTW for isolated word recognition system based on (a specific person, small vocabulary, did not use robust speech recognition technology) Platform: |
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Author:zhelmet |
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Description: 基于DTW算法的孤立字识别系统,用Matlab编程实现语音信号的端点检测-Isolated word recognition system based on DTW algorithm and Matlab programming to realize voice signal endpoint detection Platform: |
Size: 11264 |
Author:Derrifk |
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Search - isolated word recognition system