dynamic time warping造句
例句与造句
- the application of dynamic time warping in intelligent wheelchair
基于虚拟样机技术的轮椅耐久性仿真分析 - one-sided autocorrelation sequence; linear predictive coding; cepstrum; dynamic time warping
单边自相关序列线性预测编码倒谱动态时间规正 - linear predictive coding; lpc prediction error; cepstrum; dynamic time warping
线性预测编码lpclpcpe线性预测误差倒谱动态时轴弯曲或动态时间规正dtw - the experiments show that the proposed method can work and the gray relation grade measure is better suited for the problem than the dynamic time warping measure
通过实验研究，发现基于灰色关联度的层次化聚类方法能较好地实现交通流时间序列的进一步有效分离。 - the matching of the templates designs two kinds of solutions to solve it . dynamic time warping technique and vector quantization techniques are used in detecting real-time data
本文为检出处理采用了两种方案,便于实时处理的动态时间规整和聚类的矢量量化技术。 - It's difficult to find dynamic time warping in a sentence. 用dynamic time warping造句挺难的
- the research includes following parts : 1 . online signature verification based on improved dynamic time warping and the elastic matching of 1d curve segments
本文对联机手写签名鉴别技术进行研究,主要研究内容包括:1.基于改进动态时间规整和一维曲线段弹性匹配的联机手写签名鉴别。 - to solve this problem, fluctuation similarity measure, such as dynamic time warping and gray relation grade, and the hierarchical clustering algorithm were used to further separate the traffic flow time series
针对此问题，提出了将动态时间弯曲及灰色关联度引入交通流时间序列相似性度量，且结合层次化聚类方法对交通流时间序列进一步分离的方法。 - following is the main work of this thesis : 1 . after researching on the basic theory of speech recognition, this thesis realizes talker-independent recognizer and speaker identification system with dtw ( dynamic time warping ) and vq ( vector quantization ) algorithm respectively
本文的主要研究工作如下:1.在研究语音识别的一些基本理论基础上,分别采用dtw和vq两种识别算法实现了非特定人孤立词识别系统和说话人辨认系统。 - the method first segments time series based on a series of perceptually important points, use segment dynamic time warping distance as measurement, and then time series are converted into meaningful symbol sequences in terms of the segment's features and math categorization . after that, use above index model-irst, to achieve fast similarity retrieval in multiple time series
该方法提出通过基于重要点分段技术的分段动态挖掘距离作为相似性度量，既保证了度量的鲁棒性，又减少计算复杂度；利用各个分段的抽取六个主要特征，将时间序列转化成一种特定的符号序列，在此基础上利用海量全文索引结构实现了相似性的索引查找。 - what ’ s more, if the left-right structure character being written radicals apart, the segmentation algorithm will mistakenly segment one character to two . to resolve this problem, the paper proposes an approach to recognize continuous handwriting chinese characters using level building and dynamic time warping algorithm
针对现有识别系统的这些弱点,本文提出将分层构筑(levelbuilding,lb)和动态时间归正(dynamictimewarping,dtw)算法相结合(lbdtw)的联机手写汉字串识别方法。 - in the thesis, we select the mel-frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal . mel cepstrum is of better recognition and anti-noise capability . ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition
(2)现有的说话人识别方法有动态时间规整法、矢量量化法、隐马尔可夫模型和神经网络法等，其中hmm已成为目前最佳的说话人识别处理模型。 - in the software part, dynamic time warping ( dtw ) that needs lesser account and lesser system resources is selected to achieve speech recognition . the software of speech training, speech interaction, storage and transferring of the speech resource and rs232 communication is designed to realize the speech control and the speech interaction . the multicenter speech input circuit is designed to improve the capacity of
采用计算量相对较小和对系统资源要求较少的动态时间规整(dtw)算法实现语音识别功能;进行语音命令训练存储、语音交互、交互所需语音资源的存储调用、串口通讯等软件设计,实现人对机器人的语音控制和人机语音交互功能。 - nios ii soft core fulfills endpoint detection, feature extraction, discipline, recognition, input control and output display, etc . the audio signal feature, in this scheme, is the lpc mel cepstrum coefficient ( lpcmcc ) and recognition algorithm is dynamic time warping ( dtw )
由fpga硬件完成对音频数据的预加重和加窗分帧处理等,由niosii软核执行端点检测、特征提取、训练建模、识别匹配、输入控制和输出显示等。系统提取的音频信号特征为线性预测美尔倒谱系数(lpcmcc),采用动态时间规整(dtw)的识别算法。 - the method first segments time series based on a series of perceptually important points, use segment dynamic time warping distance as measurement, and then time series are converted into meaningful symbol sequences in terms of the segment's features and math categorization . after that, use above index model-irst, to achieve fast similarity retrieval in multiple time series
该方法提出通过基于摘要重要点分段技术的分段动态挖掘距离作为相似性度量，既保证了度量的鲁棒性，又减少计算复杂度;利用各个分段的抽取六个主要特征，将时间序列转化成一种特定的符号序列，在此基础上利用海量全文索引结构实现了相似性的索引查找。 - by utilizing the semi-markov model and the network flow model based on rtp, we can ensure the right operations be done in the correct way . finally, the subjective evaluating method mos ( mean opinion score ) and the objective evaluating method dtw ( dynamic time warping ) has been combined to estimate the speech quality
在控管结果的评测方面,本文引入了主客观评测相融合的话音质量评测方法,通过将改进的mos主观话音评测方法和基于动态时间规正(dynamictimewarping,dtw)的客观话音评测方法相结合,给出了较为准确的评测结果。
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