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1. 发明授权

US06411927B1 Robust preprocessing signal equalization system and method for normalizing to a target environment 失效
标题翻译：强大的预处理信号均衡系统和方法，用于归一化到目标环境
公开(公告)号：US06411927B1
公开(公告)日：2002-06-25
申请号：US09148401
申请日：1998-09-04
申请人： Philippe Morin , Philippe Gelin , Jean-Claude Junqua
发明人： Philippe Morin , Philippe Gelin , Jean-Claude Junqua
IPC分类号： G10L1914
CPC分类号： G10L15/065 , G10L15/20
摘要： The audio source is spectrally shaped by filtering in the time domain to approximate or emulate a standardized or target microphone input channel. The background level is adjusted by adding noise to the time domain signal prior to the onset of speech to set a predetermined background noise level based on a predetermined target. The audio source is then monitored in real time and the signal-to-noise ratio is adjusted by adding noise to the time domain signal, in real time, to maintain a signal-to-noise ratio based on a predetermined target value. The normalized audio signal may be applied to both training speech and test speech. The resultant normalization minimizes the mismatch between training and testing and also improves other speech processing functions, such as speech endpoint detection.
摘要翻译：音频源通过在时域中过滤来近似或模拟标准化或目标麦克风输入通道进行频谱成形。通过在语音开始之前对时域信号增加噪声来调整背景电平，以基于预定目标设定预定的背景噪声电平。然后，实时监视音频源，实时地通过对时域信号增加噪声来调整信噪比，以基于预定目标值维持信噪比。归一化音频信号可以应用于训练语音和测试语音两者。最终归一化使训练和测试之间的不匹配最小化，并且还改善了其他语音处理功能，例如语音端点检测。

2. 发明授权

US06327564B1 Speech detection using stochastic confidence measures on the frequency spectrum 失效
标题翻译：使用随机置信度测量对频谱进行语音检测
公开(公告)号：US06327564B1
公开(公告)日：2001-12-04
申请号：US09263292
申请日：1999-03-05
申请人： Philippe Gelin , Jean-Claude Junqua
发明人： Philippe Gelin , Jean-Claude Junqua
IPC分类号： G01L1520
CPC分类号： G10L25/78
摘要： An accurate and reliable method is provided for detecting speech from an input speech signal. A probabilistic approach is used to classify each frame of the speech signal as speech or non-speech. The speech detection method is based on a frequency spectrum extracted from each frame, such that the value for each frequency band is considered to be a random variable and each frame is considered to be an occurrence of these random variables. Using the frequency spectrums from a non-speech part of the speech signal, a known set of random variables is constructed. Next, each unknown frame is evaluated as to whether or not it belongs to this known set of random variables. To do so, a unique random variable (preferably a chi-square value) is formed from the set of random variables associated with the unknown frame. The unique variable is normalized with respect the known set of random variables and then classified as either speech or non-speech using the “Test of Hypothesis”. Thus, each frame that belongs to the known set of random variables is classified as non-speech and each frame that does not belong to the known set of random variables is classified as speech.
摘要翻译：提供了用于从输入语音信号检测语音的准确可靠的方法。使用概率方法将语音信号的每个帧分类为语音或非语音。语音检测方法基于从每帧提取的频谱，使得每个频带的值被认为是随机变量，并且每个帧被认为是这些随机变量的出现。使用来自语音信号的非语音部分的频谱，构建了一组已知的随机变量。接下来，评估每个未知帧是否属于该已知的随机变量集合。为此，从与未知帧相关联的随机变量集合形成唯一的随机变量（最好是卡方值）。唯一变量相对于已知的随机变量集进行归一化，然后使用“假设检验”将其分类为语音或非语音。因此，属于已知的一组随机变量的每个帧被分类为非语音，并且不属于已知的一组随机变量的每个帧被分类为语音。

3. 发明授权

US06272462B1 Supervised adaptation using corrective N-best decoding 失效
标题翻译：使用校正N最佳解码的监督适应
公开(公告)号：US06272462B1
公开(公告)日：2001-08-07
申请号：US09257893
申请日：1999-02-25
申请人： Patrick Nguyen , Philippe Gelin , Jean-Claude Junqua
发明人： Patrick Nguyen , Philippe Gelin , Jean-Claude Junqua
IPC分类号： G10L1506
CPC分类号： G10L15/075 , G10L2015/0635
摘要： Supervised adaptation speech is supplied to the recognizer and the recognizer generates the N-best transcriptions of the adaptation speech. These transcriptions include the one transcription known to be correct, based on a priori knowledge of the adaptation speech, and the remaining transcriptions known to be incorrect. The system applies weights to each transcription: a positive weight to the correct transcription and negative weights to the incorrect transcriptions. These weights have the effect of moving the incorrect transcriptions away from the correct one, rendering the recognition system more discriminative for the new speaker's speaking characteristics. Weights applied to the incorrect solutions are based on the respective likelihood scores generated by the recognizer. The sum of all weights (positive and negative) are a positive number. This ensures that the system will converge.
摘要翻译：受监督的适应语音被提供给识别器，并且识别器生成适应语音的N个最佳的转录。这些转录包括基于适应言语的先验知识的已知正确的一个转录，以及已知不正确的剩余转录。该系统对每个转录应用权重：对正确转录的正负重和不正确转录的负权重。这些权重具有将错误的记录从正确的转录中移开的效果，使识别系统对于新的说话者的说话特征更具歧视性。应用于不正确解的权重是基于识别器产生的各自的可能性得分。所有权重（正和负）的和是正数。这样可以确保系统收敛。

4. 发明授权

US06205426B1 Unsupervised speech model adaptation using reliable information among N-best strings 失效
标题翻译：无人监督的语音模型适应使用N最佳字符串中的可靠信息
公开(公告)号：US06205426B1
公开(公告)日：2001-03-20
申请号：US09237170
申请日：1999-01-25
申请人： Patrick Nguyen , Philippe Gelin , Jean-Claude Junqua
发明人： Patrick Nguyen , Philippe Gelin , Jean-Claude Junqua
IPC分类号： G10L1514
CPC分类号： G10L15/065
摘要： The system performs unsupervised speech model adaptation using the recognizer to generate the N-best solutions for an input utterance. Each of these N-best solutions is tested by a reliable information extraction process. Reliable information is extracted by a weighting technique based on likelihood scores generated by the recognizer, or by a non-linear thresholding function. The system may be used in a single pass implementation or iteratively in a multi-pass implementation.
摘要翻译：该系统使用识别器执行无监督的语音模型自适应，以产生用于输入语音的N最佳解。这些N最佳解决方案中的每一个都通过可靠的信息提取过程进行测试。通过基于由识别器生成的似然分数的加权技术或非线性阈值函数来提取可靠信息。该系统可以在单遍实现中或在多遍实现中迭代地使用。

5. 发明授权

US07064652B2 Multimodal concierge for secure and convenient access to a home or building 有权
标题翻译：多式联运礼宾，可方便地进入住宅或建筑物
公开(公告)号：US07064652B2
公开(公告)日：2006-06-20
申请号：US10237758
申请日：2002-09-09
申请人： Jean-Claude Junqua , Philippe Morin
发明人： Jean-Claude Junqua , Philippe Morin
IPC分类号： G05B19/00 , G10L11/00 , G10L17/00
CPC分类号： H04L63/0861 , G07C9/00158
摘要： An improved method is provided for enrolling with a resource security system. The method includes: providing an access code to a system user; accessing the resource security system using the access code; prompting the user to input a biometric feature which identifies the user; capturing a biometric feature associated with the user; and associating the captured biometric feature with the identity of the user for subsequent verification. The method further includes subsequently granting access to the secured resource based on biometric feature data input by the user.
摘要翻译：提供了一种用于登记资源安全系统的改进方法。该方法包括：向系统用户提供访问代码; 使用访问代码访问资源安全系统; 提示用户输入识别用户的生物特征; 捕获与用户相关联的生物特征特征; 并将所捕获的生物测定特征与用户的身份相关联以用于随后的验证。该方法还包括随后基于用户输入的生物特征数据授予对安全资源的访问。

6. 发明申请

US20050171774A1 Features and techniques for speaker authentication 审中-公开
标题翻译：扬声器认证的特点和技术
公开(公告)号：US20050171774A1
公开(公告)日：2005-08-04
申请号：US10768946
申请日：2004-01-30
申请人： Ted Applebaum , Steven Pearson , Philippe Morin , Jean-Claude Junqua
发明人： Ted Applebaum , Steven Pearson , Philippe Morin , Jean-Claude Junqua
IPC分类号： G10L15/00 , G10L17/00
CPC分类号： G10L17/12 , G10L17/06
摘要： A speaker authentication system includes an input receptive of user speech from a user. An extraction module extracts acoustic correlates of aspects of the user's physiology from the user speech, including at least one of glottal source parameters, formant related parameters, timing characteristics, and pitch related qualities. An output communicates the acoustic correlates to an authentication module adapted to authenticate the user by comparing the acoustic correlates to predefined acoustic correlates in a datastore.
摘要翻译：扬声器认证系统包括从用户接收用户语音的输入。提取模块从用户语音中提取用户生理方面的声学相关性，包括声门源参数，共振峰相关参数，时序特征和音调相关质量中的至少一个。输出通过将数据存储中的声相关与预定义的声相关进行比较来将声相关传递给适合于认证用户的认证模块。

7. 发明申请

US20110043475A1 METHOD AND SYSTEM OF IDENTIFYING A USER OF A HANDHELD DEVICE 审中-公开
标题翻译：识别手持设备用户的方法和系统
公开(公告)号：US20110043475A1
公开(公告)日：2011-02-24
申请号：US12988745
申请日：2009-04-21
申请人： Luca Rigazio , David Kryze , Jean-Claude Junqua
发明人： Luca Rigazio , David Kryze , Jean-Claude Junqua
IPC分类号： G06F3/041
CPC分类号： H04N5/4403 , G06F3/04883 , G08C17/00 , G08C2201/30 , H04N21/42208 , H04N21/42222 , H04N21/42224 , H04N2005/443
摘要： A system and method for identifying a user of a handheld device is herein disclosed. The device implementing the method and system may attempt to identify a user based on signals that are incidental to a user's handling of the device. The signals are generated by a variety of sensors dispersed along the periphery or within the housing. The sensors range may include touch sensors, inertial sensors, acoustic sensors, pulse oximiters, and a touchpad. Based on the sensors and corresponding signals, identification information is generated. The identification information is used to identify the user of the handheld device. The handheld device may implement various statistical learning and data mining techniques to increase the robustness of the system. The device may also authenticate the user based on the user drawing a circle, or other shape.
摘要翻译：本文公开了一种用于识别手持设备的用户的系统和方法。实现该方法和系统的设备可以基于用户对设备的处理附带的信号来尝试识别用户。信号由沿着周边或壳体内分散的各种传感器产生。传感器范围可以包括触摸传感器，惯性传感器，声学传感器，脉冲嗅觉器和触摸板。基于传感器和相应的信号，生成识别信息。识别信息用于识别手持设备的用户。手持设备可以实现各种统计学习和数据挖掘技术以增加系统的鲁棒性。设备还可以基于用户绘制圆形或其他形状来认证用户。

8. 发明授权

US07069214B2 Factorization for generating a library of mouth shapes 有权
公开(公告)号：US07069214B2
公开(公告)日：2006-06-27
申请号：US10095813
申请日：2002-03-12
申请人： Jean-Claude Junqua
发明人： Jean-Claude Junqua
IPC分类号： G10L13/00 , G10L21/06
CPC分类号： G10L13/04 , G10L2021/0135
摘要： A library of mouth shapes is created by separating speaker-dependent and speaker independent variability. Preferably, speaker dependent variability is modeled by a speaker space while the speaker independent variability (i.e. context dependency), is modeled by a set of normalized mouth shapes that need be built only once. Given a small amount of data from a new speaker, it is possible to construct a corresponding mouth shape library by estimating a point in speaker space that maximizes the likelihood of adaptation data and by combining speaker dependent and speaker independent variability. Creation of talking heads is simplified because creation of a library of mouth shapes is enabled with only a few mouth shape instances. To build the speaker space, a context independent mouth shape parametric representation is obtained. Then a supervector containing the set of context-independent mouth shapes is formed for each speaker included in the speaker space. Dimensionality reduction is used to find the areas of the speaker space.

9. 发明申请

US20050154265A1 Intelligent nurse robot 审中-公开
标题翻译：智能护士机器人
公开(公告)号：US20050154265A1
公开(公告)日：2005-07-14
申请号：US10755862
申请日：2004-01-12
申请人： Xavier Miro , Jean-Claude Junqua
发明人： Xavier Miro , Jean-Claude Junqua
IPC分类号： A61B5/00 , A61B5/024 , A61B5/117 , G06F19/00 , G07C9/00 , G10L15/26 , G06F17/60 , A61B5/02
CPC分类号： G06Q50/24 , A61B5/0002 , A61B5/024 , A61B5/117 , A61B5/14532 , A61B5/7475 , G06F19/3418 , G07C9/00158 , G10L15/26 , G16H40/63
摘要： A robotic nursing system for use with a patient comprises a nursing robot having at least one patient condition sensor, a transmitter, and a receiver mounted therein. A display device for displays data sensed by the patient condition sensor. The display device includes a receiver in communication with the nursing robot. The nursing robot senses patient physiological conditions using the patient condition sensor and transmits the physiological conditions to the display device using the transmitter. The display device then displays the physiological conditions for review by a user. One or another or both. The nursing robot also transmits the physiological conditions to a patient database for storage.
摘要翻译：一种与患者一起使用的机器人护理系统包括具有安装在其中的至少一个患者状况传感器，发射器和接收器的护理机器人。一种用于由病人状况传感器感测的显示数据的显示装置。显示装置包括与护理机器人通信的接收器。护理机器人使用患者状况传感器来感测患者的生理状态，并使用发射器将生理条件发送到显示装置。显示装置然后显示用于用户审查的生理条件。一个或另一个或两者。护理机器人还将生理条件发送到患者数据库以进行存储。

10. 发明授权

US06901364B2 Focused language models for improved speech input of structured documents 有权
标题翻译：用于改进结构化文档语音输入的专注语言模型
公开(公告)号：US06901364B2
公开(公告)日：2005-05-31
申请号：US09951093
申请日：2001-09-13
申请人： Patrick Nguyen , Luca Rigazio , Jean-Claude Junqua
发明人： Patrick Nguyen , Luca Rigazio , Jean-Claude Junqua
IPC分类号： G10L15/18 , G10L15/28 , G10L15/26 , G06F17/20 , G10L21/00
CPC分类号： G10L15/1815 , G10L15/30
摘要： An e-mail message process is provided for use with a personal digital assistant which allows for the use of input speech messaging which is converted to text using a focused language model which is downloaded by a cellular phone connection to an Internet server which provides the focused language model based upon a topic for the intended e-mail message. The text that is generated from the input speech method can be summarized by the e-mail message processor and can be edited by the user. The generated e-mail message can then be transmitted again via cellular connection to an Internet e-mail server for transmitting the e-mail message to a recipient.
摘要翻译：提供电子邮件消息处理以与个人数字助理一起使用，该个人数字助理允许使用输入语音消息传送，其使用由通过蜂窝电话连接下载的聚焦语言模型转换为文本，该互联网服务器提供聚焦基于预期电子邮件的主题的语言模型。从输入语音方法生成的文本可以由电子邮件消息处理器来总结，并且可以由用户编辑。然后可以通过蜂窝连接再次将生成的电子邮件消息发送到Internet电子邮件服务器，以将电子邮件消息发送给接收者。

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