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[OthermelodyRecognition

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: | Size: 156672 | Author: cq | Hits:

[Speech/Voice recognition/combinegaoshiaddsdf

Description: 这是一个关于语音识别方面的近期学术论文,很有参考价值,论文的题目是《嵌入式语音识别系统的快速高斯计算实现》希望对大家有帮助,-This is a voice about the recent identification papers, a good reference value of the thesis entitled " Embedded speech recognition system to achieve rapid calculation of Gaussian" I hope there is help for everyone,
Platform: | Size: 104448 | Author: 胡珊珊 | Hits:

[Speech/Voice recognition/combineqianrushiasdas

Description: 这是一个关于语音识别方面的近期学术论文,很有参考价值,论文的题目是《嵌入式语音识别系统的研究和实现》希望对大家有帮助,-This is a voice about the recent identification papers, a good reference value of the thesis entitled " Embedded speech recognition system research and implementation" I hope there is help for everyone,
Platform: | Size: 30720 | Author: 胡珊珊 | Hits:

[Speech/Voice recognition/combinesasdaerewrgdsj

Description: 这是一个关于语音识别方面的近期学术论文,很有参考价值,论文的题目是《嵌入式语音识别系统性能分析》希望对大家有帮助,-This is a voice about the recent identification papers, a good reference value of the thesis entitled " Embedded Speech Recognition System Performance Analysis" I hope there is help for everyone,
Platform: | Size: 32768 | Author: 胡珊珊 | Hits:

[Speech/Voice recognition/combineF2_6764

Description: 端点检测是指用数字处理技术来找出语音信号中的各种段落(如音素、音节、词素、词等)的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样,将其分帧并计算短时能量和过零率参数,然后进行端点检测。这种工作方式被称为离线处理方法 ,无法实现语音信号的实时处理,对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件,在MATLAB环境下将其嵌入到figure窗口中,以GUI程序的方式使用,实现语音信号端点检测的实时处理。-Endpoint detection is the use of digital processing techniques to identify the speech signals in a variety of paragraphs (such as phoneme, syllable, morpheme, word, etc.) the starting point and the end position. Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link. Traditional endpoint detection method is to obtain from the wav file voice sampling, its sub-frame and calculate the short-term energy and zero-crossing rate parameters, and then proceed to endpoint detection. This work is called off-line approach can not achieve real-time speech signal processing, analysis of the speech signal has a certain limitations. In this paper, through the development of ActiveX controls, in the MATLAB environment to embedded figure window to use GUI program, the realization of speech signal processing real-time endpoint detection.
Platform: | Size: 30720 | Author: cike | Hits:

[Graph DrawingVoice

Description: LD3320语音识别芯片的电路图。LD3320是基于非特定人的语音识别芯片,内部嵌入识别算法,在稳定环境下识别率高达96 。-LD3320 speech recognition chip circuit. LD3320 is based on the non-specific human speech recognition chip embedded within the recognition algorithm, in a stable environment, the recognition rate as high as 96 .
Platform: | Size: 6710272 | Author: kira | Hits:

[Graph Recognize91805v00_WordRecognition_final

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 | Hits:

[Speech/Voice recognition/combinesphinx3-0.4.1

Description: sphinx系统是一个拥有悠久历史的语音识别系统,李开复自称第一个sphinx是他写的。 传说 中是第一个实用的10数字语音系统。 是由卡奈基.美隆大学研发。 sphinx3.x是基于C语言的最新版本,sphinx和 sphinx2请大家不要去研究了。 sphinx for ppc是一个在PocketPc上实现的嵌入式语音识别系统。 而 sphinx4是完全用JAVA编写实现的语音识别系统, 因为JAVA的特性,在平台间移植方便很多。 需要注意的是 sphinx3和sphinx4不是先后的关系,而是平行的, 主要区别是前一个用C语言实现,后一个用JAVA语言实现。 -sphinx system is a long history of speech recognition systems, Kai-fu Lee claimed the first sphinx was written by him. Legend 10 is the first practical digital voice systems. Was developed by Carnegie Mellon University. sphinx3.x is the latest version based on the C language, sphinx and sphinx2 please do not go study. sphinx for ppc is an embedded speech recognition system implemented on PocketPc. The sphinx4 is entirely written in JAVA implementation of speech recognition systems, Because the characteristics of JAVA, porting between platforms a lot easier. Note that the relationship sphinx3 and sphinx4 not have, but parallel, The main difference is that the previous one implemented in C language, the one implemented in JAVA language.
Platform: | Size: 17830912 | Author: hw | Hits:

[Software EngineeringVoice_Recognition_System_in_Noisy_Environment

Description: voice recognition in noisy environment Human life could be much more comfortable, if global machinery works on voice commands. There are lot of products available in the market those provide us automated voice controlled working experience. Voice-identification is a kind of technology in which, machine responds to human voice. The goal of this project is to design and implement voice controlled embedded system in noisy environment. The project consists software and hardware design. The software part is to eliminate noise the original signal and develop the speech recognition algorithm (DTW). The hardware is used for speech recognition.-voice recognition in noisy environment Human life could be much more comfortable, if global machinery works on voice commands. There are lot of products available in the market those provide us automated voice controlled working experience. Voice-identification is a kind of technology in which, machine responds to human voice. The goal of this project is to design and implement voice controlled embedded system in noisy environment. The project consists software and hardware design. The software part is to eliminate noise the original signal and develop the speech recognition algorithm (DTW). The hardware is used for speech recognition.
Platform: | Size: 1082368 | Author: suraj kumar | Hits:

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