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    • 1. 发明授权
    • Apparatus for efficient dispatch and selection of information in law enforcement applications
    • 用于在执法应用程序中高效地发送和选择信息的装置
    • US06571174B2
    • 2003-05-27
    • US09929634
    • 2001-08-14
    • Luca RigazioPhilippe R. MorinJean-Claude Junqua
    • Luca RigazioPhilippe R. MorinJean-Claude Junqua
    • G01C2134
    • G08G1/096811G01C21/26G08G1/202
    • A navigation apparatus is disclosed which may be used by law enforcement personnel for rapid intervention to a location while adding safety and reliability to the process. The apparatus includes a computer system, having an operating system, memory and a user interface. The system further includes a positioning system, such as a GPS system for determining the position of a vehicle. The positioning system communicates with the operating system. An information database, communicating with the operating system, contains data related to routing information concerning routes for travel by the vehicle. The routing information includes safety information concerning route safety in the traveling region accessible by the vehicle. The apparatus further includes a routing system in communication with the operating system that determines a route based at least in part on the routing information. Driving directions and call information are provided multi-modally to provide the officer with critical information in an efficient and timely fashion.
    • 公开了一种导航装置,其可以被执法人员用于对位置的快速干预,同时为该过程增加安全性和可靠性。 该装置包括具有操作系统,存储器和用户界面的计算机系统。 该系统还包括诸如用于确定车辆位置的GPS系统的定位系统。 定位系统与操作系统通信。 与操作系统通信的信息数据库包含与车辆行驶路线有关的路线信息的数据。 路线信息包括关于车辆可接近的行驶区域中的路线安全的安全信息。 该装置还包括与操作系统通信的路由系统,其至少部分地基于路由信息来确定路由。 驾驶方向和通话信息以多方式提供,以有效和及时的方式向官员提供关键信息。
    • 3. 发明授权
    • Voice dialing server for branch exchange telephone systems
    • 分机交换电话系统的语音拨号服务器
    • US5930336A
    • 1999-07-27
    • US723914
    • 1996-09-30
    • Jean-Claude JunquaPhilippe R. MorinTed H. Applebaum
    • Jean-Claude JunquaPhilippe R. MorinTed H. Applebaum
    • G10L15/02G10L15/10H04M3/42H04M3/493H04Q3/58H04Q3/62H04M1/64
    • H04M3/4931G10L15/02G10L15/10H04M3/42204H04M3/42314H04Q3/627G10L2015/228H04M2201/40
    • The voice dialing server plugs into one or more unused extensions of a branch exchange system to provide each of the users on the system with voice dialing services. To use the system a user simply dials the extension to which the server is attached. The server then prompts the user to supply the name of a party to be called. The name is then looked up in a telephone number dictionary unique to that user. The system then places the telephone call by sending commands to the branch exchange system that simulate the operations a user would perform to connect to an outside line or inside extension and then place the call. The server incorporates a speech processing module having a multistage word recognizer that represents speech in terms of high phoneme similarity values. This representation is highly compact, allowing the word recognizer to perform the recognizer and fine match stages with far less processor overhead than frame-by-frame speech recognizers.
    • 语音拨号服务器插入分支交换系统的一个或多个未使用的分机,以向系统中的每个用户提供语音拨号服务。 要使用系统,用户只需拨打服务器所连接的扩展名。 服务器然后提示用户提供被叫方的名称。 然后在该用户唯一的电话号码字典中查找该名称。 然后,该系统通过发送命令发送电话给分支交换系统,该系统模拟用户将执行的连接到外线或内部分机的操作,然后进行呼叫。 该服务器包括具有多字词识别器的语音处理模块,其以高音素相似度值表示语音。 该表示非常紧凑,允许字识别器执行识别器和精细匹配阶段,而且比逐帧语音识别器远远少于处理器开销。
    • 6. 发明授权
    • Segment-based similarity method for low complexity speech recognizer
    • 低复杂度语音识别器的基于段的相似度法
    • US06230129B1
    • 2001-05-08
    • US09199721
    • 1998-11-25
    • Philippe R. MorinTed H. Applebaum
    • Philippe R. MorinTed H. Applebaum
    • G10L1502
    • G10L15/10G10L2015/025
    • A digital word prototype is constructed using one or more speech utterance for a given spoken word or phrase. First, a phone model is used to derive phoneme similarity time series for each of a plurality of phonemes which represent the degree of similarity between the speech utterance and a set of standard phonemes contained in the phone model. Next, the phoneme similarity data is normalized in relation to a non-speech part of the input speech signal. The normalized phoneme similarity data is divided into segments, such that the sum of all normalized phoneme similarity values in a segment are equal for each segment. Next, a word model is constructed from the phoneme similarity data. To do so, within each segment, a summation value is determined by summing over speech frames each of the normalized phoneme similarity values associated with a particular phoneme. In this way, the word model is represented by a vector of summation values that compactly correlate to the normalized phoneme similarity data. Lastly, the results of the individually processed utterances for a given spoken word (i.e., the individual word models) are combined to produce a digital word prototype that electronically represents the given spoken word.
    • 使用针对给定口语单词或短语的一个或多个语音说话来构建数字词原型。 首先,使用电话模型来导出多个音素中的每一个的音素相似度时间序列,这些音素表示语音话语和包含在电话模型中的一组标准音素之间的相似程度。 接下来,音素相似度数据相对于输入语音信号的非语音部分被归一化。 归一化的音素相似度数据被划分成段,使得段中的所有归一化音素相似度之和相等于每个段。 接下来,从音素相似度数据构建单词模型。 为了这样做,在每个段内,通过对与特定音素相关联的每个标准化音素相似度的语音帧求和来确定求和值。 以这种方式,词模型由与归一化音素相似度数据紧密相关的求和值的向量表示。 最后,将给定口语单词(即,单词模型)的单独处理的话语的结果组合以产生电子地表示给定口语单词的数字词原型。
    • 9. 发明授权
    • Multistage word recognizer based on reliably detected phoneme similarity
regions
    • 基于可靠检测的音素相似区域的多级字识别器
    • US5822728A
    • 1998-10-13
    • US526746
    • 1995-09-08
    • Ted H. ApplebaumPhilippe R. Morin
    • Ted H. ApplebaumPhilippe R. Morin
    • G10L15/02G10L15/08G10L7/08
    • G10L15/08G10L15/02
    • The multistage word recognizer uses a word reference representation based on reliably detected peaks of phoneme similarity values. The word reference representation captures the basic features of the words by targets that describe the location and shape of stable peaks of phoneme similarity values. The first stage of the word hypothesizer represents each reference word with statistical information on the number of high similarity regions over a predefined number of time intervals. The second stage represents each word by a prototype that consists of a series of phoneme targets and global statistics, namely the average word duration and average match rate. These represent the degree of fit of the word prototype to its training data. Word recognition scores generated in the two stages are converted to dimensionless normalized values and combined by averaging for use in selecting the most probable word candidates.
    • 多级字识别器使用基于可靠检测的音素相似度峰值的字参考表示。 词引用表示法通过描述音素相似度值的稳定峰的位置和形状的目标捕获词的基本特征。 单词假设器的第一阶段表示具有关于预定数量的时间间隔上的高相似性区域的数量的统计信息的每个参考词。 第二阶段由原型组成,每个单词由一系列音素目标和全球统计数据组成,即平均单词持续时间和平均匹配率。 这些代表词原型对其训练数据的拟合程度。 在两个阶段产生的词识别分数被转换为无量纲归一化值,并通过平均来组合用于选择最可能的词候选。