TMS320VC5416 16-bit fixed-point DSP is adopted in its core processor of the hardware. Dynamic Time Warping (DTW) algorithm is chiefly used to implement the software.
系统硬件的核心芯片采用普遍使用的16位定点DSP芯片TMS320 VC 5416，软件上主要采用动态时间规整算法来实现语音识别。
Both analysis and experiments show that the recognition time is proportional to the square of the length of the feature vector, if dynamic time warping (DTW) algorithm is employed in recognition.
分析和实验结果表明：若采用动态时间规正算法(DTW)，识别时间与特征矢量长度的平方成正比关系。
Thresholds are determined by dynamic time warping (DTW) distance between training sequences and standard model.
然后计算训练序列与标准步态模型之间的动态时间规整距离，确定阈值。
The speech recognition system adopts dynamic time warping (DTW) algorism to compare the characteristic parameters of speech signal with each other and recognize the result of speech signal.
采用动态时间归整(DTW)算法对语音信号进行特征参数序列比较并识别出结果。
Dynamic time Warping (DTW) is one of the important distance measures in similarity searching of time series; however, the exact calculation has become a bottleneck.
动态时间弯曲(DTW)距离是时间序列相似搜索的一种重要距离度量，但其精确计算是一个性能瓶颈。
The audio signal feature, in this scheme, is the LPC Mel Cepstrum Coefficient (LPCMCC) and recognition algorithm is Dynamic Time Warping (DTW).
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 paper proposes an online handwriting signature verification algorithm with signature energy as feature based on dynamic time warping (DTW).
提出了一种基于DTW匹配的以签名能量为特征的在线手写签名验证算法。
For the length of feature vectors of speech samples is different, direct cutting and Dynamic Time Warping (DTW) regulation, are put forward to solve the problem.
提出了直接截取和DT W规正两种方法来解决语音样本特征向量长度不一致的问题。
The Dynamic Time-Warping (DTW) solution and other considerations in DTW are discussed in details.
详细讨论了动态时间归整算法（DTW）及其改进。
The Dynamic Time-Warping (DTW) solution and other considerations in DTW are discussed in details.
详细讨论了动态时间归整算法（DTW）及其改进。
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