资源列表
speech20040601
- 我的毕业设计，vc++的语音识别的简单程序。-I graduated from the design, voice recognition vc the simple procedure.
MMSE_IC
- 基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波-based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter
sdsds
- 小波变换在图像处理中的应用 用小波变幻的方法去除噪声-wavelet transform in the image processing applications using wavelet changes in the method of removing noise
edhhkh
- 一个基于小波变换的图像去噪声程序 仿真软件采用的是matlab-a Wavelet-Based Image noise process simulation software using the Matlab
ycross
- 关于61板声控小车的源码,可以实现声控小车的前进,停止,转向,倒车等基本动作,支持?-,Asm,语音合成与识别/Speech-Voice recognition/combine -61 on board the trolley voice source, can achieve a voice-activated car forward, stop, turn, reversing the basic movements, support - and programmers. Speech Sy
PowerPointAssistant
- 用语音命令控制PowerPoint的各种指令,可实现多媒体演示的全自动化。 需先安装微软语音识别引擎.-BY ZQDSoft Created By 庄奇东-use voice commands to control PowerPoint all the commands and multimedia demonstration can be realized fully automated. There should first install Microsoft Speech Rec
yuyinshibiechengxu
- dsp语音识别，程序，包括整个设计思路，请多指导，谢谢！！ -dsp voice recognition, procedures, including the entire design ideas, please guidance, Thank you! !
SSMultibandKamath02
- 使用谱减法的语音增强matlab源程序。-use of spectral subtraction speech enhancement Matlab source.
ycar
- 语音控制小车[注]是凌阳大学计划推出的基于SPCE061A的代表性兴趣产品，它配合61板推出，综合应用了SPCE061A的众多资源，打破了传统教学中单片机学习枯燥和低效的现状。小车采用语音识别技术，可通过语音命令对其行驶状态进行控制。 语音控制小车的主要功能： 1． 可以通过简单的I/O操作实现小车的前进、后退、左转、右转功能； 2． 配合SPCE061A的语音特色，利用系统的语音播放和语音识别资源，实现语音控制的功能； 3． 可以在行走过程中声控改变小车运动状态； 4． 在
lms+noise
- 自己课题用了的LMS程序，个人觉得很好，应该能帮上大家吧-own issues with the LMS procedures, personal feel very good, we should be able to help on it
lvboyuanlitu
- 基于临界带能量特征的语音识别技术研究，数字图象滤波器原理图。-with energy based on the critical characteristics of voice recognition technology, digital image filter schematics.
danpianjjiwaixing
- 基于临界带能量特征的语音识别技术研究,单片结构原理图。请支持，-with energy based on the critical characteristics of voice recognition technology, monolithic structure diagram. Please support, I thank