搜索资源列表
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
fdpsola
- 语音合成程序！psalo频域基音同步叠加方法。它首先对原始语音信号进行短时频域变换，得到短时谱和短时谱包络。短时谱除以短时谱包络得到声源短时谱，对声源短时谱的实部和虚部分别进行线性插值，就可以达到改变语音信号基频的目的，然后再进行频域反变换，可得到变换后的短时语音信号。短时谱包络部分也可以独立改变，以达到改变音色的目的。-speech synthesis procedures! Psalo frequency domain pitch synchronous superposition meth
20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
ToolboxBSS
- 不错的盲源分离工具箱，实现对声源的分离,包含多个子程序-a nice toolbox of blind source separation used to separate multiple sources
MUSIC
- 基于麦克风阵列的声源定位一维music算法源代码-Based on the microphone array beamformer one-dimensional music algorithm source code
DSB
- 在八元阵列中，对麦克风阵列采集到一个声源的语音信号进行延迟相加，从而得到语音增强后的信号-In eight dollars array of microphone arrays to capture the voice of a sound source signal delay are added to obtain the enhanced speech signal
source-localization
- 本文介绍了基于麦克风阵列的声源定位算法，给初学者有很大的帮助-This article describes the microphone array based sound source localization algorithm, a great help for beginners
tu-xiang
- 盲源分离 读取语音文件并显示其频谱图像 基于声场景分析的混叠语音分离研究-Blind Source Separation the aliasing voice read the voice file and display its spectrum image based on the acoustic scene analysis Separation
DOASimu1
- 用于声源定位的多种经典算法总结.MUSIC,ESPRIT等。-For a variety of classic sound source localization algorithm summarized. MUSIC, ESPRIT, etc..
ESPRIT1
- 用于麦克风阵列声源定位的经典旋转因子不变算法。ESPRIT.-Microphone array for sound source localization algorithm classic twiddle factor unchanged. ESPRIT.
TLS_ESPRIT
- 麦克风阵列声源定位经典算法旋转不变算法的改进算法。TLS-ESPRIT算法。-Classic microphone array sound source localization algorithm rotation invariant improved algorithm. TLS-ESPRIT algorithm.
pipeichangdingwei
- 本程序是计算深海远场情况下的声源定位，首先要编译海洋环境文件（包含阵元信息），利用Krakren程序计算本征函数和本征模态，再利用本程序的子程序计算拷贝向量，然后合成声源信号，最后根据匹配场的程序进行匹配定位，由于数据量比较大，计算区域如果选的比较大的话，计算时间就比较长，酌情选择。-This procedure is to calculate the far-field sound source localization in case of deep sea, we must first c
modulation spectrum
- 使用modulation spectrum的方法分解语音再合成，语音分解之后可以进行各种操作达到不同的音效，也可以做声源分离。(Modulation spectrum is emerging as a novel sound representation which has found applications in both ASR as well as most recently in audio coding.)
FastICA_25
- ICA盲声源分离，可以直接使用，里面有详细说明文档(ICA blind source separation, can be used directly, there are detailed documentation)
Nofilter-final
- 这是基于三角追踪法的声源定位方法，C语言程序。没有添加滤波器(This is based on the triangulation tracking method of sound source location, C language program. No filter is added)
Kaiserfilter-final
- 这是基于三角追踪方法的声源定位2，利用了kaise滤波器。(This is based on the triangulation tracking method of sound source location 2, using the Kaise filter.)
Beamform-final
- 这是基于波束形成方法的声源定位，一般信号处理用matlab语言，利用C语言进行了修改。(This is the sound source localization based on the beamforming method. The general signal processing is modified by the MATLAB language and is modified by the C language.)
声音定位 程序
- 一款经典的声源定位方法，内容很丰富，给初学者学习！(A classic sound source localization method for beginners to learn!)