您要查找的是不是:
- A Keyword Spotting Method Based on Speech Feature Space Trace Matching 基于特征空间轨迹匹配方式的语音关键词检测法
- speech feature space 语音特征空间
- To solve the key problem of extracting visual speech feature in lipreading,a method based on DCT and LDA is proposed. 摘要 为解决视觉语言特征提取这个唇读技术中最关键的难题,提出一种新的基于DCT和LDA的特征提取方法。
- During the experiment,MFCC(Mel Frequency Ceptral Coefficient) is adopted to speaker speech feature parameters. 实验中,采用美尔倒谱系数(MFCC)作为话者语音特征参数。
- Objective To study speech feature and treatment of adult with misarticulation by review 20 patients' clinical information. 摘要目的通过回顾20例成年人的语音治疗,总结其治疗规律,探讨有效的治疗方法。
- This paper employs feature selection theory and pattern aggregation theory to reduce feature space dimension. 应用特征选取和模式聚合理论以降低特征空间维数。
- High accuracy DEMs is an important data in study of soil erosion and terrain feature space analysis. 高精度数字高程模型(DEM)是水土流失规律研究与流域地形空间分析中重要的空间数据。
- VAD algorithm based on RASTA-filter multi-dimensional speech feature and Support Vector Machine is presented.It applies to the speech detection under the low SNR conditions. 提出了一种基于RASTA滤波技术的多维语音特征和支持向量机分类的VAD算法,适用于低信噪比情况下的话音检测。
- This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space. 本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。
- And relations between Contact Feature Space and tools' surface meshes are established. 并建立了接触特征空间和模具曲面网格的对应关系。
- In this algorithm the classification of samples in the critical zone is decided by the voting of K-NN set in the feature space and the sample space. 该方法将特征空间分类超平面附近的样本分类,交由特征空间和样本空间中的K-近邻集体投票表决。
- In the feature space, the mixing signals form a smaller submanifold, and an orthonormal basis of the submanifold is constructed. 将接收的混合信号映射到一个有限高维核特征空间,在这个特征空间中,利用核主成分分析方法寻找混合信号形成的子流形的一组正交基。
- Isolated words recognition experiment based on DTW shows: this method is o. K. In automatic detection of speech terminal and extraction of speech feature; and achieves very satisfying recognition rate. 实验结果表明:该法在噪声环境下自动检测语音端点和提取语音信号的特征是可行的,获得了很满意的识别率。
- Speech feature parameters have complex distribution with high dimensions.Therefore, we have great difficulty in designing codebook.The traditional LBG algorithm yields only local optimal codebook. 语音特征参数是高维数据,样本分布复杂,因此码本设计的难度也很大,传统的LBG算法只能获得局部最优的码本。
- The received mixing signals are first mapped to high-dimensional kernel feature space, and an orthonormal basis of the kernel feature space is constructed. 该算法首先将混合信号映射到高维核特征空间,同时构造该核特征空间的一组正交基。
- KDE of the color difference value between the corresponding matching elements is calculated in difference feature space and selected as the similarity measure. 将匹配基元中对应像素点的颜色差值在差值特征空间中进行核密度估计,并以此作为相似性测度。
- Open galleries feature spaces for the display of larger, more dramatic works. 开放的画廊艺术空间功能更大,可吸收更多的更赋有戏剧性的作品。
- A few jokes will add a final fillip to your speech. 几句笑话会给你的演说添些生气。
- He's a fervent believer in free speech. 他是言论自由的强烈信仰者。
- Corners are extracted using improved Harris operator, and feature space of Corner is built based on average square gradient matrix. Then three steps of matching strategy are adopted to realize image matching. 该算法采用改进的harris算子提取特征点(角点),并建立角点特征空间,根据三级匹配策略,实现特征点的匹配,完成图像配准。