语音情感识别是人工智能的重要研究领域之一,特征参数提取的准确性直接影响识别的效果。
Emotion recognition of speech is signification for artificial intelligence research; the feature parameters distillate accuracy influences recognition-rate directly.
介绍了通过数字中频技术提取雷达信号脉内特征,并根据脉内特征参数对雷达信号调制形式进行识别。
The in-pulse features of radar signals are extracted by the digital IF technology, and the modulation forms of radar signals are identified according to the in-pulse feature parameters.
接着,在特征提取方面尝试了一种较新的组合形式,仿真实验结果表明将多种特征参数进行合理组合有助于提高说话人识别系统的正确识别率。
Thirdly, a new combined form of feature parameters was attempted in the thesis, and reasonably compounding Characteristic parameters has been proved helpful in improving the correct recognition rate.
该方案利用数字混合信号与常用数字调制信号在信号频谱以及星座点的差异提取特征参数进行自动识别。
In the scheme, a set of feature parameters are extracted from signal spectrum and constellation based on the differences between digital mixed signals and common digital modulation signals.
在日益复杂的电磁环境中,如何提取有效的特征参数是解决辐射源识别的关键。
In the increasingly complicated electromagnetism environment, how to extract useful feature parameters is a key to achieve emitter identification.
从有线数字电视射频信号特征参数提取着手,建立了一套识别16QAM和64 QAM射频信号调制方式的数学算法。
Based on the characteristic extracting of RF signal in digital cable TV system, this paper puts forward an algorithm for modulation recognition between 16qam and 64qam RF signals.
语音识别在通信等领域有着广泛的用途,其中语音特征参数提取是语音识别系统的一个重要组成部分。
Speech recognition has wide use in the field of communication and so on. Speech feature parameter extraction is an important part of the speech recognition system.
该算法从变换域提取全部特征参数,采用决策理论算法,实现调制类型的自动识别。
Based on the characteristic parameters extracted from transform domains, the automatic modulation recognition has been realized by employing decision theory.
依靠非线性时间序列分析方法提取重构动力系统的非线性或混沌特征参数,可以达到识别的目的。
The targets recognition can be reached by extracting the features of the reconstructed dynamics using nonlinear methods.
回顾了国内外纺织纤维截面特征参数提取和识别技术的研究进展。
The developments of study on the characteristic parameters of profiled fiber and image recognition technology were reviewed.
本课题主要研究系统在纤维识别种类上的扩展,对系统用于识别苎麻和棉的六个特征参数进行因子分析,提取出两个有效的间接特征参数。
Based on the factor analysis of six characteristic parameters used to identify cotton and ramie fibers, two indirect characteristic parameters of cotton and Lyocell fibers are extracted.
本文首先介绍了说话人识别系统的概念,然后分析了几种常用的语音特征参数的提取方法以及说话人识别的几种模型。
This text introduced the concept of speaker recognition system firstly, then analyzed a few extraction methods of speech feature parameters in common use and a few models of speaker recognition.
自组织特征映射(SOM)神经网络能通过自组织有效地提取出各特征参数间的内在特征并映射到分类模板上,它可以用于各种模式识别问题。
Self organizing feature map (SOM) network can extract the internal features of parameter by self organizing and reflect them on the classified map. It can be used in problems of pattern recognition.
首先介绍从信号幅度、相位、频率及功率谱等特性中提取的三种特征参数,应用这三种参数采用人工神经网络对模拟调制信号进行了识别。
Three features parameters derived from the instantaneous amplitude, instantaneous phase, instantaneous frequency and power spectrum of analogue modulated signals are presented in this article.
油气藏模式识别系统可以提取4类地震特征参数,进行4种地震特征变换,设计3种分类器。
This system can obtain 4 seismic feature parameters, transform 4 seismic features and design 3 classifiers.
本文主要讨论了用图像处理和模式识别的方法对纬编平针组织结构进行工艺特征参数提取。
The dissertation has applied Imagine Processing Techniques to abstract characteristics of weft knitted jersey stitch .
在说话人识别技术中,特征参数的提取对语音训练和识别有着非常重要的作用。
Speech feature parameter extraction is an very important part of the speech recognition system, especially in speech training and recognition.
首先提取了对缝洞型储层反映敏感的测井比值参数,介绍了用于储层识别的综合特征参数的原理;
Parameters sensitive to facture and vug reservoirs are chosen. Principles of integrated characteristic parameters in reservoir identification are introduced.
为了使说话人识别系统在语音较短和存在噪声的环境下也具有较高的识别率,基于矢量量化识别算法,对提取的特征参数进行研究。
To improve the performance of speaker recognition in the condition of noise and little speech data, feature parameters were studied based on the Vector Quantization (VQ).
方法采用纹理分析法,从灰度直方图中提取特征参数,对脂肪肝和正常肝脏B超图像进行识别。
Methods Ultrasonic images of fatty and normal liver were identified by adopting texture analysis with statistical features and getting features parameter from gray histogram.
本文对文本无关说话人识别系统中的码本设计、特征参数提取以及鲁棒性等方面进行了研究,取得了一些研究成果。
This paper focused on the problems of the codebook formation, feature extraction and the noise robustness, and experiments proved that the results obtained were good.
实验结果表明,系统很好地完成了细胞图像的分割、细胞边界跟踪和重要细胞特征参数的提取,为病理医生识别病灶提供了客观依据。
The experiments show that this system completes image segmentation, boundary tracking and image character distilling well that gives pathology diagnosis doctors a lot of gist…
实验结果表明,系统很好地完成了细胞图像的分割、细胞边界跟踪和重要细胞特征参数的提取,为病理医生识别病灶提供了客观依据。
The experiments show that this system completes image segmentation, boundary tracking and image character distilling well that gives pathology diagnosis doctors a lot of gist…
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