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1. 发明授权

US5892813A Multimodal voice dialing digital key telephone with dialog manager 失效
标题翻译：多模式语音拨号数字电话与对话管理器
公开(公告)号：US5892813A
公开(公告)日：1999-04-06
申请号：US723913
申请日：1996-09-30
申请人： Philippe R. Morin , Ted H. Applebaum , Jean-Claude Junqua
发明人： Philippe R. Morin , Ted H. Applebaum , Jean-Claude Junqua
IPC分类号： G10L15/00 , G10L13/00 , G10L15/18 , G10L15/28 , H04M1/00 , H04M1/247 , H04M1/253 , H04M1/27 , H04M3/42
CPC分类号： H04M1/247 , H04M1/271
摘要： The multimodal telephone prompts the user using both a visual display and synthesized voice. It receives user input via keypad and programmable soft keys associated with the display, and also through user-spoken commands. The voice module includes a two stage speech recognizer that models speech in terms of high similarity values. A dialog manager associated with the voice module maintains the visual and verbal systems in synchronism with one another. The dialog manager administers a state machine that records the dialog context. The dialog context is used to ensure that the appropriate visual prompts are displayed--showing what commands are possible at any given point in the dialog. The speech recognizer also uses the dialog context to select the recognized word candidate that is appropriate to the current context.
摘要翻译：多模式电话提示用户同时使用视觉显示和合成语音。它通过键盘和与显示器相关联的可编程软键接收用户输入，还可以通过用户口令命令。语音模块包括两级语音识别器，其以高相似度值对语音进行建模。与语音模块相关联的对话管理器将视觉和语言系统彼此同步地维持。对话管理器管理记录对话框上下文的状态机。对话框上下文用于确保显示适当的视觉提示，显示对话框中任意给定点可以执行哪些命令。语音识别器还使用对话上下文来选择适合于当前上下文的识别词候选。

2. 发明授权

US5930336A Voice dialing server for branch exchange telephone systems 失效
标题翻译：分机交换电话系统的语音拨号服务器
公开(公告)号：US5930336A
公开(公告)日：1999-07-27
申请号：US723914
申请日：1996-09-30
申请人： Jean-Claude Junqua , Philippe R. Morin , Ted H. Applebaum
发明人： Jean-Claude Junqua , Philippe R. Morin , Ted H. Applebaum
IPC分类号： G10L15/02 , G10L15/10 , H04M3/42 , H04M3/493 , H04Q3/58 , H04Q3/62 , H04M1/64
CPC分类号： H04M3/4931 , G10L15/02 , G10L15/10 , H04M3/42204 , H04M3/42314 , H04Q3/627 , G10L2015/228 , H04M2201/40
摘要： 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.
摘要翻译：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。

3. 发明授权

US06996527B2 Linear discriminant based sound class similarities with unit value normalization 失效
公开(公告)号：US06996527B2
公开(公告)日：2006-02-07
申请号：US09915717
申请日：2001-07-26
申请人： Robert C. Boman , Philippe R. Morin , Ted H. Applebaum
发明人： Robert C. Boman , Philippe R. Morin , Ted H. Applebaum
IPC分类号： G10L15/08
CPC分类号： G10L15/02 , G10L15/10
摘要： A common requirement in automatic speech recognition is to recognize a set of words for any speaker without training the system for each new speaker. A speech recognition system is provided utilizing linear discriminant based phonetic similarities with inter-phonetic unit value normalization. Linear discriminant analysis is utilized using training data with both in-class and out-class sample training utterances for generating linear discriminant vectors for each of the phonetic units. The dot product of each linear discriminant vector and the time spectral pattern vectors generated from the input speech are computed. The resultant raw similarity vectors are then normalized utilizing normalization look-up tables for providing similarity vectors which are utilized by a word matcher for word recognition.

4. 发明授权

US06230129B1 Segment-based similarity method for low complexity speech recognizer 有权
标题翻译：低复杂度语音识别器的基于段的相似度法
公开(公告)号：US06230129B1
公开(公告)日：2001-05-08
申请号：US09199721
申请日：1998-11-25
申请人： Philippe R. Morin , Ted H. Applebaum
发明人： Philippe R. Morin , Ted H. Applebaum
IPC分类号： G10L1502
CPC分类号： G10L15/10 , G10L2015/025
摘要： 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.
摘要翻译：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。

5. 发明授权

US5825977A Word hypothesizer based on reliably detected phoneme similarity regions 失效
标题翻译：基于可靠检测的音素相似区域的词假设
公开(公告)号：US5825977A
公开(公告)日：1998-10-20
申请号：US526718
申请日：1995-09-08
申请人： Philippe R. Morin , Ted H. Applebaum
发明人： Philippe R. Morin , Ted H. Applebaum
IPC分类号： G10L15/02 , G10L15/04 , G10L15/10 , G10L15/12 , G10L5/06 , G10L9/00
CPC分类号： G10L15/04 , G10L15/10 , G10L15/12
摘要： The word hypothesizer reduces the search space for more computationally expensive word recognizers. Each periodic interval of input speech is represented as a vector of phoneme similarity values from which the high similarity regions are selected and parameterized. The hypothesizer computes alignment parameters for each of a plurality of previously stored word prototypes, vis-a-vis the high similarity regions of the input speech utterance. Those word prototypes having the highest recognition scores are selected as word candidates for the fine match recognizer.
摘要翻译：假设词减少了更多计算昂贵的字识别器的搜索空间。输入语音的每个周期性间隔被表示为从其中选择和参数化高相似性区域的音素相似性值的向量。相对于输入语音发音的高相似性区域，假设者计算多个先前存储的单词原型中的每一个的对准参数。选择具有最高识别分数的单词原型作为精细匹配识别器的候选词。

6. 发明授权

US5822728A Multistage word recognizer based on reliably detected phoneme similarity regions 失效
标题翻译：基于可靠检测的音素相似区域的多级字识别器
公开(公告)号：US5822728A
公开(公告)日：1998-10-13
申请号：US526746
申请日：1995-09-08
申请人： Ted H. Applebaum , Philippe R. Morin
发明人： Ted H. Applebaum , Philippe R. Morin
IPC分类号： G10L15/02 , G10L15/08 , G10L7/08
CPC分类号： G10L15/08 , G10L15/02
摘要： 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.
摘要翻译：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。

7. 发明授权

US5684925A Speech representation by feature-based word prototypes comprising phoneme targets having reliable high similarity 失效
标题翻译：基于特征的词原型的语音表示，其包括具有可靠的高相似性的音素目标
公开(公告)号：US5684925A
公开(公告)日：1997-11-04
申请号：US526719
申请日：1995-09-08
申请人： Philippe R. Morin , Ted H. Applebaum
发明人： Philippe R. Morin , Ted H. Applebaum
IPC分类号： G10L15/06 , G10L5/06
CPC分类号： G10L15/063
摘要： Digitized speech utterances are converted into phoneme similarity data and regions of high similarity are then extracted and used in forming the word prototype. By alignment across speakers unreliable high phoneme similarity regions are eliminated. Word prototype targets are then constructed comprising the following parameters: the phoneme symbol, the average peak height of the phoneme similarity score, the average peak location and the left and right frame locations. For each target a statistical weight is assigned representing the percentage of occurrences the particular high similarity region occurred across all speakers. The word prototype is feature-based allowing a robust speech representation to be constructed without the need for frame-by-frame analysis.
摘要翻译：数字化语音语音被转换为音素相似性数据，然后提取高相似性的区域，并用于形成单词原型。通过对讲，消除了不可靠的高音素相似区域。然后构建词原型目标，其包括以下参数：音素符号，音素相似性得分的平均峰高，平均峰值位置和左右帧位置。对于每个目标，分配统计权重，表示所有发言者发生特定高相似性区域的出现百分比。词原型是基于特征的，允许构建鲁棒的语音表示，而不需要逐帧分析。

8. 发明授权

US06571174B2 Apparatus for efficient dispatch and selection of information in law enforcement applications 有权
标题翻译：用于在执法应用程序中高效地发送和选择信息的装置
公开(公告)号：US06571174B2
公开(公告)日：2003-05-27
申请号：US09929634
申请日：2001-08-14
申请人： Luca Rigazio , Philippe R. Morin , Jean-Claude Junqua
发明人： Luca Rigazio , Philippe R. Morin , Jean-Claude Junqua
IPC分类号： G01C2134
CPC分类号： G08G1/096811 , G01C21/26 , G08G1/202
摘要： 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.
摘要翻译：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。

9. 发明授权

US06996528B2 Method for efficient, safe and reliable data entry by voice under adverse conditions 失效
公开(公告)号：US06996528B2
公开(公告)日：2006-02-07
申请号：US09921766
申请日：2001-08-03
申请人： Philippe R. Morin , Jean-Claude Junqua , Luca Rigazio , Robert C. Boman , Peter Veprek
发明人： Philippe R. Morin , Jean-Claude Junqua , Luca Rigazio , Robert C. Boman , Peter Veprek
IPC分类号： G10L15/22
CPC分类号： G10L15/065 , G10L15/22
摘要： A method and apparatus for data entry by voice under adverse conditions is disclosed. More specifically it provides a way for efficient and robust form filling by voice. A form can typically contain one or several fields that must be filled in. The user communicates to a speech recognition system and word spotting is performed upon the utterance. The spotted words of an utterance form a phrase that can contain field-specific values and/or commands. Recognized values are echoed back to the speaker via a text-to-speech system. Unreliable or unsafe inputs for which the confidence measure is found to be low (e.g. ill-pronounced speech or noises) are rejected by the spotter. Speaker adaptation is furthermore performed transparently to improve speech recognition accuracy. Other input modalities can be additionally supported (e.g. keyboard and touch-screen). The system maintains a dialogue history to enable editing and correction operations on all active fields.

10. 发明授权

US06985859B2 Robust word-spotting system using an intelligibility criterion for reliable keyword detection under adverse and unknown noisy environments 失效
公开(公告)号：US06985859B2
公开(公告)日：2006-01-10
申请号：US09818849
申请日：2001-03-28
申请人： Philippe R. Morin
发明人： Philippe R. Morin
IPC分类号： G10L15/00
CPC分类号： G10L15/20 , G10L2015/088
摘要： A method and system for spotting words in a speech signal having adverse and unknown noisy environments is provided. The method removes the dynamic bias introduced by the environment (i.e., noise and channel effect) that is specific to each word of the lexicon. The method includes the step of generating a first recognition score based on the speech signal and a lexicon entry for a word. The recognition score tracks an absolute likelihood that the word is in the speech signal. A background score is estimated based on the first recognition score. The method further provides for calculating a confidence score based on a matching ratio between a minimum recognition value and the background score. The method and system can be implemented for any number of words, depending upon the application. The confidence scores therefore track noise-corrected likelihoods that the words are in the speech signal.

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