查询词典 recognition

The blind assisting target recognition system(written as 'SYSTEM' for short thereinafter) that is studied in paper is based on the technique of image processing and recognition. It is in virtue of the newest development production of modern image technique and machine vision, and is benefited from hominine thought, investigated with DSP. It works through all sorts of arithmetic of image processing and recognition technique.

论文所研究的助盲目标识别系统以图像处理与识别技术为理论基础，借助现代图像技术和机器视觉的最新发展成果，以DSP为硬件开发平台，充分借鉴人的思维活动方式，研究了图像处理与识别技术的各种算法。

This article researched into the principle of voiceprint recognition and the methods of constructing a voiceprint recognition system. The key technologies about voiceprint recognition is analyzed.

本文深入研究了声纹识别的基本原理以及声纹识别系统的实现方法，同时对于实现声纹识别的重要技术做了相应的分析、比较。

Firstly,we particularly explained the algorithmic of themusic recognition.Then,we made a study of the music characteristic and the musicrecognition methods.As for the burrs of the music signal,we put forward a curveplastic method to eliminate the burrs.Considering the difficulties of detecting thepoint of the music speech,we made use of the multi-frequency energy curve to detectthe end-point of the music signal with the crossing zeros rate.As for thedisadvantages of the large operation and influence of the formant,we improved theAMDF theory with the linear prediction algorithmic to detect the error.In order toobtain the characteristic parameter of the music signal,wo calculate the MFCCparameter to obtain the template and the pending signal characteristic parameter.Inorder to improve the rate of the recognition,considering the disadvantages of theDTW algorithmic,we find a new method to improved the DTW algorithmic bybroadening the point of the music signal and made simulation experimentation;As forthe disadvantages of the contraposition grade to the pitch,cadent and sing name,wefind a method to dynaic adjust the results of the recognition to improve the accuracyof the grade.

详细阐述了嵌入式音乐识别算法的详细设计与实现，研究了音乐语言的特点和音乐识别的侧重点，并阐述了基于音乐信号特色的语音处理及识别方法；针对音乐信号中的毛刺干扰，提出了曲线整形的思想，消除了音乐信号中的毛刺；针对音乐信号端点检测困难的特点，利用多频段能量曲线分割结合过零率来实现端点准确检测；针对音高提取运算量大且容易受共振峰影响的特点，利用线性预测残差的方法对传统的AMDF算法进行了改进并提取出了音高，在实际实现时，优化了AMDF算法，减少了计算量；为了得到较好的特征参数，通过求取梅尔频标倒谱系数的方法，分别提取了模板信号特征参数和待测信号特征参数；为了提高识别率，针对传统DTW算法的缺陷，采用了放宽端点和声刺激法改进了传统的DTW算法的性能并进行了仿真试验，使音乐识别率得到明显提高；在音高、节奏评分时，针对对位评分的缺点，采取了动态调整的方法提高了评分的准确度。

In order to decrease the error rate of speech recognition, speaker adaptation techniques are often used to adjust speaker-dependent acoustic models. MLLR (Maximum Likelihood Linear Regression) and MAP are two of the most popular techniques in recent years. MLLR uses the technique of regression trees. It calculates the transform matrix for each leaf node of the tree. This makes it possible to use fewer sentences to decrease the error rate of HMM-based speech recognition. However, while we examined the recognition result, we found that although the overall error rate decreased, but the error rate of certain confusable phones was higher. In order to solve this problem, we propose the use MPE (Minimum Phone Error Discriminative Training) to solve this problem.

在语音辨识技术的实际应用上，语者调适技术常被用做调整语者无关之声学模型，使其对於特定语者之辨识率有所提升，常见的语者调适技术有最大化相似度线性回归（Maximum Likelihood Linear Regression），其精神在於透过对语音辨识模型相近的mixture做群聚，再对各个群聚做调整，以期能达到利用少量语料，提升辨识率的目的，但其缺点为，在发音上相近的模型，其mixture原本就极为近似，若再分类为同一群聚做调整，容易因为使用者的发音习惯，而使模型偏向ㄓ或ㄗ，因此虽然整体的辨识率获得提升，但却造成混淆音的错误率上升。

According to the above evaluation of immuno-epidemiology of RSA, RSA may be etiologically classified into lack of materno-fetal immuno-recognition, materno-fetal inappropriate immuno-recognition, and disorder of materno-fetal immuno-recognition.

根据RSA免疫流行病学分析，RSA的病因可以分类为：母-胎免疫识别低下型、母-胎免疫识别过度型及母-胎免疫识别紊乱型。

The experimental results show that the SOM method can get the best result for lesion recognition, the recognition rate of pork tissue and liver tissue are 96.1% and 91.7%, respectively. The recognition rate for PCA-LDA method is lower than that of SOM method because the feature of tissue lesion is linear indivisible.An effective clinic scheme is developed for NETE, and some problems are discussed. For example, nonuniform temperature field conduced by nonuniform energy field; tissue database construction; movement of HIFU transducer with ultrasonic transducer; rectification of HIFU parameters.

临床方案做了总体设计，并讨论了在临床应用中需要考虑的一些问题，如因HIFU辐射能量分布不均匀导致的焦域的温度场不均匀的问题，数据库的建立问题，HIFU换能器和超声探头的位移的问题以及HIFU辐射参数的确定问题等。

The history and current situation of research in speech recognition are proposed all-sidedly and systematically. We probe into such topics about acoustic features, phonetic features, phonologic features and auditory perception in terms of related theory and disciplines. Furthermore, we summarize and analyze focus in current theoretical and technical aspects of speech recognition and immediately put an insight into challenge to speech recognition presently, even in a long time.

论文全面、系统地介绍了国内外语音识别的发展历史和发展现状，结合相关学科的知识，分析了语音声学特征、语音学特征、音系学特征及其语音感知等有关问题，分析并总结了目前语音识别理论和技术实现方面的研究重点以及目前、甚至在相当长的时期内语音识别面临的挑战。

Therefore, it is very convenient to construct photoactive supramolecular recognition systems, which fulfil the requirements of optical chemical sensors: to complete two affairs simultaneously, a recognition between host and guest, b signal expression related to recognition.

利用超分子体系的特性，可以方便地构造满足光化学传感器要求的具有光学活性的超分子识别体系：在识别分析对象的过程中，必须给出与识别过程相关的光学参数来完成信号表达过程。

A character-codes model based pattern recognition method by using amplitude data of targets frequency response is proposed after the establishment of high frequency response equation of radar targets. The method uses the same unvariant character-codes to express the same target of different angles and uses sequential separating of regions of target's reference variables to obtain multiple coding vectors of all regions for every target. The category and pose of target can be determined after a two-staged classification processing such as coding processing of target range profile data and errors correcting processing of coded data. The two-stage classification results are used to target identification as posterior hypothesis to be tested by sufficient convincing and necessary convincing. The character-codes model based pattern recognition method is also adaptive to variation of target angles and controllable in error probability. Time-consuming and complicated iterative computation is not necessary in the train process of pattern recognition.

首先建立了雷达目标的高频频率响应方程，这种方程将目标多散射中心理论与目标局部谐振理论有机地结合起来；进而提出了目标多频响应结构成像方法，这种方法将瑞利区频率响应或谐振区频率响应曲线的不同部位用各种不同的近似方法去逼近，通过特征谱估计方法将目标的局部频响特征与宽带距离响应特征结合起来；然后提出了一种基于姿态角变化区域的序贯划分与多模匹配的特征编码识别方法，这种方法具有能适应目标姿态角的变化以及能控制识别的差错概率α等优点，在目标识别时只需要目标在少数有限个频率激励下的幅频响应数据。

Firstly, this thesis lucubrates in the method theory of character space and does a lot of experiments and researches in the two steps, character expressing and measure of similarity. Realize the object recognition system based on the character subspace, which adopts the effective and ameliorative means to solve the problems existing in the course of recognition such as illumination and pose estimation, so enhances the robustness of recognition.

首先深入研究特征空间方法原理，并对识别过程中的两个关键步骤：特征表达和相似性度量做了具体实验和研究工作，实现基于特征空间目标识别系统，其中采用了几种有效的改进方法，有效的解决了识别过程中存在的诸如光照以及3D目标姿态估计等问题，提高了识别鲁棒性。

It is also known as one of the most poisonous naturally occurring substances.

它也被称为一个最自然发生的有毒物质。

The greatest stress is found at the location on the cross section where V is the largest.

最大应力出现在横截面上V为最大的地方。