SPEECH
共 152 篇文章
SPEECH 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 152 篇文章，持续更新中。
非接触式IC卡射频识读器的设计与实现
<p>针对接触式IC卡技术的接触问题以及有源工作,采取射频识别技术与IC卡技术相结合的方法,解决了IC卡技术接触性的问题,实现IC卡的非接触使用与无源工作的功能,并在此基础上附加语音播报功能。文章主要研究的带语音功能的识读器是以射频识别技术为基础,MIFARE卡作为识读器识别的对象、根据ISO14443A协议、采用非接触式IC卡常用的读写芯片MFRC522作为读写模块核心芯片,以WT588作为语音
基于镜像神经系统机制的语音动作康复训练系统设计
<p>本文主要针对不随意运动型脑瘫患儿,通过人机交互(HCI)的模式结合仿生机械手达到脑瘫康复训练的目的。整体设计中采用了单片机Arduinomega2560为主控制器,显示屏1602作为数据显示,语音模块采用LD3320语音芯片,LabVIEW作为上位机显示患者需要识别的手势动作图片。当运行开始后,脑瘫患儿通过观看上位机界面上随机切换显示的图片,对应说出图片的内容,利用语音芯片进行语音辨识,识别
基于语音控制的智能家居系统的设计与实现
<p>采用模块化设计,以C语言编程,由LD3320A语音识别芯片以及89C52单片机采集和处理信号,完成人机对话。对各降噪方法在安静和嘈杂环境下进行测试,结果表明,添加垃圾语句语音识别准确率最高。所得结果对于实现非特定人识别的智能语音家居各项功能具有重要意义。</p><p>Using modular design, C language programming, voice identificat
G.711,G.723.1,G.726,G.729,GSM CODEC C/C++ code
·G.711,G.723.1,G.726,G.729,GSM CODEC C/C++ code 文件列表: ipp_sample ..........\speech-coding ..........\.............\application ..........\.............\...........\us
使用凌阳单片机的多命令语音识别范例
·详细说明：使用凌阳单片机的多命令语音识别范例- The use insults the positive monolithic integrated circuit the multi- orders speech recognition model 文件列表: Recognise_SD ............\bsrSD.h ............
用于语音识别：基于HMM模型(用C++语言编写)
·详细说明：用于语音识别，基于HMM模型，用C++语言编写。可用连续语音识别-It is based on HMM Model and developed with C++ which could be used to continuous speech recognition.
使用Speech sdk 5.1来开发语音识别例子的一个程序
·文件列表: ReadMe.txt Release .......\SapiTutorial0.exe res ...\SapiTutorial0.ico ...\SapiTutorial0.rc2 resource.h sapi0.cfg sapi0.h s
语音识别技术原理简介
自动语音识别技术(Auto Speech Recognize，简称ASR)所要解决的问题是让计算机能够“听懂”人类的语音，将语音中包含的文字信息“提取”出来。
单片机实现ADPCM编码和解码
<p>INTRODUCTION In the past, adding speech recording and playback capability to a product meant using a digital signal processor or a specialized audio chip. Now, using a simplified Adaptive Different
100+篇深度学习英文论文资料合集
2.5 Neural Turing Machine
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2.1 Model
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.DS_Store
10KB
2.4 RNN Sequence-to-Sequence Model
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2.8 One Shot Deep Learning
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2.7 Deep Transfer Learning Lifelong Learning especially for RL
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2.2 Optimizati
g728源码
speech coder 压缩标准g728源码，实现语音压缩
Embedded_Deep_Learning_－_Algorithms
Although state of the art in many typical machine learning tasks, deep learning<br />
algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount<br />
of required computations and huge
Signal Processing for Telecommunications
This paper presents a Hidden Markov Model (HMM)-based speech<br />
enhancement method, aiming at reducing non-stationary noise from speech<br />
signals. The system is based on the assumption that the
Cognitive+Radio+Technology
This introduction takes a visionary look at ideal cognitive radios (CRs) that inte-<br />
grate advanced software-defined radios (SDR) with CR techniques to arrive at<br />
radios that learn to help t
A Signal Subspace Approach for Speech Enhancement
ephraim1995 子空间降噪经典算法
短时过零率和短时能量
% Computation of ST-ZCR and STE of a speech signal.<br />
%<br />
% Functions required: zerocross, sgn, winconv.<br />
%<br />
% Author: Nabin Sharma<br />
% Date: 2009/03/15<br />
<br />
[x,Fs] = wav
基于频率插值的4.0kbps 语音编码器的性能和设计（英文）
The 4.0 kbit/s speech codec described in this paper is based on a<br />
Frequency Domain Interpolative (FDI) coding technique, which<br />
belongs to the class of prototype waveform Interpolation (PWI
AVR source code for performing speech, the speech voice will be like a robot voice. sources are in c
AVR source code for performing speech, the speech voice will be like a robot voice. sources are in c language.
Speech analysis in matlab
Speech analysis in matlab
this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to c
this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients