1) speech presence probability
语音存在概率
1.
Several traditional methods for VAD(Voice Activity Detection) are summarized,then a new method for VAD is proposed which calculates the speech presence probability on each frequencies-bin in each frame.
首先总结了几种常见的语音活动检测(VAD)方法,然后从计算每帧每个频率点的语音存在概率出发,提出了一种新的VAD方法,并就其中的一些参数选择问题进行了讨论。
2) existence probability
存在概率
1.
Fast circle measurement of industrial CT images based on existence probability;
存在概率的工业CT图像快速圆测量
2.
Then, a method for calculating the existence probability map of circles and its defects were analyzed.
接着,研究了图像圆存在概率算法特点,通过构造专用链表数据结构存储计算数据,限制计算时圆心选取范围等方法,克服了原计算方法效率低、占用内存大的缺点,并运用改进的圆存在概率计算方法对工业CT图像中的圆进行自动检测。
3) existence probability map
存在概率图
1.
To overcome the defect of long-time calculation and memory consuming in the current method of existence probability map for detecting circles,the present study first made sure the potential range of the center of circle,and stored the message which met the required numerical values in the chain and then decided the pa.
针对现有存在概率图的圆检测方法计算时间长、占用内存大的缺点,通过事先确定潜在圆心选择范围的方法,将存在概率数值符合设定条件的圆的参数信息存储在链表中,并根据被检测圆的数量确定圆的参数,标识其位置。
4) speech absence probability
无语音概率
1.
Taking into account the masking properties of human auditory system and the uncertainty of the speech pres-ence,the novel algorithm modifies the log-spectral amplitude estimation and the speech absence probability(SAP) pa-rameter.
提出一种谱估计中的平滑系数自适应变化的新算法,该算法利用人耳掩蔽特性改进语音最小均方误差的对数谱估计增益和无语音概率(SAP)参数,并且利用改进后的SAP参数自适应地调节平滑系数,以求随着不同噪声环境的变化在去噪度、残留音乐噪声和语音畸变度之间自适应地折中。
2.
In this approach,the masking model of human auditory is modified,the masking thresholds of the key frequency segments of each speech frame are determined dynamically through introducing the speech absence probability.
提出一种基于听觉掩蔽模型和无语音概率的语音增强算法。
5) Probabilistic Latent Semantic Analysis(PLSA)
概率潜在语义分析
1.
The image blocks were first extracted on a regular grid and the visual words in blocks were used to describe every block,and then block latent semantic models were achieved by using Probabilistic Latent Semantic Analysis(PLSA).
该方法首先对图像进行均匀分块并使用分块内视觉词汇的出现频率来描述每一个分块,然后利用概率潜在语义分析(PLSA)方法从图像的分块集合中发现潜在语义模型,最后利用该模型提取出潜在语义在图像分块中的出现情况来进行场景分类。
6) probabilistic latent semantic analysis
概率潜在语义分析
1.
By combining the probabilistic Latent Semantic Analysis (pLSA) that can cluster random data into respective aspects and content-based collaborative filtering, a novel load forecasting model based on normalized Gaussian probabilistic latent semantic analysis collaborative filtering is proposed in order to avoid see.
本文提出利用概率潜在语义分析使历史随机数据呈现出各种有规律的示象(aspect),结合对内容的协同过滤技术去建立用电量预测模型,从而利用统计学习的方法避开了对影响系统输出的隐含变元的寻找与刻画。
2.
The paper proposes a novel memory-based collaborative filtering algorithm—Multi-label Probabilistic Latent Semantic Analysis based Collaborative Filtering,which improves the quality of recommendations by reducing the dimension of the user-rating-data matrix by multi-label probabilistic latent semantic analysis when the matrix is extremely sparse.
首先将概率潜在语义分析法中的隐变量集固定为项目的多类属集,明确隐变量的意义,限制隐变量的变化范围;而后迭代学习隐变量的分布,即用户的兴趣模型,压缩用户评分矩阵;最后用学到的兴趣模型度量用户的相似度,对目标用户做出推荐。
补充资料：语音
语音
①语言(说话）的声音。语言必须借声音才能表达。每种语言的语音成分及其结构方式都有系统性和一定的特点。②进行胸部检查时，患者在说话时，用听诊器在胸壁上也可听到，称为听觉语音。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条