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1. 发明申请

WO2020014568A1 SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR RISK AND INSURANCE DETERMINATION 审中-公开
公开(公告)号：WO2020014568A1
公开(公告)日：2020-01-16
申请号：PCT/US2019/041535
申请日：2019-07-12
申请人： REVOLT CYPHER, LLC
发明人： HAILE, Mussie , CANOVA, Fillippo, Frederici , GAO, David, Z.
IPC分类号： G06F21/64 , G06Q10/10 , G06Q40/08 , G06Q50/24 , G16H10/60 , G16H50/30 , G16H50/70
摘要： The invention enables determining at least one of an insurance risk score or an insurance cost through the steps of (i) receiving from one or more sensors disposed within one or more wearable devices worn by the individual, health parameter data corresponding to one or more states associated with the individual, (ii) validating the received health parameter data based on one or more predefined validation rules, (iii) responsive to validation of the health parameter data, recording said health parameter data and a unique ID associated with the individual in a blockchain, and (iv) retrieving from the blockchain, a plurality of instances of health parameter data associated with the unique ID, and generating based on an analysis of the retrieved plurality of instances of health parameter data, a risk score associated with the individual.

2. 发明申请

WO2016077557A1 ADAPTIVE INTERCHANNEL DISCRIMINITIVE RESCALING FILTER 审中-公开
标题翻译：自适应通道间分辨率滤波器
公开(公告)号：WO2016077557A1
公开(公告)日：2016-05-19
申请号：PCT/US2015/060337
申请日：2015-11-12
申请人： CYPHER, LLC
发明人： SHERWOOD, Erik , GRUNDSTROM, Carl
IPC分类号： H04B15/00
CPC分类号： G10L21/0232 , G10L21/0208 , G10L25/84 , G10L2021/02165
摘要： A method for filtering an audio signal includes modeling a probability density function (PDF) of a fast Fourier transform (FFT) coefficient of primary and reference channels; maximizing the PDFs to provide a discriminative relevance difference (DRD) between a noise magnitude estimate of the reference channel and a noise magnitude estimate of the primary channel. The primary channel is emphasized when the spectral magnitude of the primary channel is stronger than that of the reference channel; and is deemphasized when the spectral magnitude of the reference channel is stronger than that of the primary channel. A multiplicative rescaling factor is applied to a gain computed in a prior stage of a speech enhancement filter chain, and gain is directly applied when there is no prior stage.
摘要翻译：用于对音频信号进行滤波的方法包括对主信道和参考信道的快速傅里叶变换（FFT）系数的概率密度函数（PDF）进行建模; 最大化PDF以提供参考信道的噪声幅度估计与主信道的噪声幅度估计之间的鉴别相关性差（DRD）。当主信道的频谱幅度比参考信道的频谱强度更强时，主信道被强调; 并且当参考信道的频谱幅度比主信道的频谱幅度更强时被强调。将乘法重调整因子应用于在语音增强滤波器链的前级中计算的增益，并且当不存在前级时直接应用增益。

3. 发明申请

WO2016077547A1 DETERMINING NOISE AND SOUND POWER LEVEL DIFFERENCES BETWEEN PRIMARY AND REFERENCE CHANNELS 审中-公开
标题翻译：确定主要和参考通道之间的噪音和声压级别差异
公开(公告)号：WO2016077547A1
公开(公告)日：2016-05-19
申请号：PCT/US2015/060323
申请日：2015-11-12
申请人： CYPHER, LLC
发明人： ERKELENS, Jan S.
IPC分类号： G10L21/02
CPC分类号： G10L21/0232 , G10L25/12 , G10L25/21 , G10L2021/02165 , H04R3/005 , H04R2410/05
摘要： A method for estimating a noise power level difference (NPLD) between primary and reference microphones of an audio device includes maximizing a modelled probability density function (PDF) of a fast Fourier transform (FFT) coefficient of the primary channel of the audio signal to provide a NPLD between a noise variance estimate of the reference channel and a noise variance estimate of the primary channel. A modelled PDF of an FFT coefficient of the reference channel of the audio signal is maximized to provide a complex speech power level difference (SPLD) coefficient between the speech FFT coefficients of the primary and reference channel. A corrected noise magnitude of the reference channel is then calculated based on the noise variance estimate, the NPLD and the SPLD coefficient.
摘要翻译：用于估计音频设备的主要和参考麦克风之间的噪声功率电平差（NPLD）的方法包括最大化音频信号的主要信道的快速傅立叶变换（FFT）系数的建模概率密度函数（PDF），以提供在参考信道的噪声方差估计与主信道的噪声方差估计之间的NPLD。将音频信号的参考信道的FFT系数的建模PDF最大化，以在主信道和参考信道的语音FFT系数之间提供复合语音功率电平差（SPLD）系数。然后基于噪声方差估计，NPLD和SPLD系数来计算参考信道的校正噪声幅度。

4. 发明申请

WO2016049611A1 NEURAL NETWORK VOICE ACTIVITY DETECTION EMPLOYING RUNNING RANGE NORMALIZATION 审中-公开
标题翻译：神经网络语音活动检测运行范围正常化
公开(公告)号：WO2016049611A1
公开(公告)日：2016-03-31
申请号：PCT/US2015/052519
申请日：2015-09-26
申请人： CYPHER, LLC
发明人： VICKERS, Earl
IPC分类号： G10L15/16 , G10L25/27 , G10L25/78
CPC分类号： G10L21/0264 , G10L21/0224 , G10L25/30 , G10L25/60 , G10L25/78 , G10L25/84 , G10L2015/0636
摘要： A "running range normalization" method includes computing running estimates of the range of values of features useful for voice activity detection (VAD) and normalizing the features by mapping them to a desired range. Running range normalization includes computation of running estimates of the minimum and maximum values of VAD features and normalizing the feature values by mapping the original range to a desired range. Smoothing coefficients are optionally selected to directionally bias a rate of change of at least one of the running estimates of the minimum and maximum values. The normalized VAD feature parameters are used to train a machine learning algorithm to detect voice activity and to use the trained machine learning algorithm to isolate or enhance the speech component of the audio data.
摘要翻译： “运行范围归一化”方法包括计算对语音活动检测（VAD）有用的特征值的范围的运行估计，并且通过将它们映射到期望的范围来对特征进行归一化。运行范围归一化包括计算VAD特征的最小值和最大值的运行估计值，并通过将原始范围映射到所需范围来对特征值进行归一化。可选地选择平滑系数来定向地偏置最小值和最大值的运行估计中的至少一个的变化率。归一化VAD特征参数用于训练机器学习算法以检测语音活动，并使用经过训练的机器学习算法来隔离或增强音频数据的语音分量。

5. 发明申请

WO2015195482A1 MULTI-AURAL MMSE ANALYSIS TECHNIQUES FOR CLARIFYING AUDIO SIGNALS 审中-公开
标题翻译：用于清除音频信号的多重MMSE分析技术
公开(公告)号：WO2015195482A1
公开(公告)日：2015-12-23
申请号：PCT/US2015/035612
申请日：2015-06-12
申请人： CYPHER, LLC
发明人： GEIGER, Fredrick , BUNDERSON, Bryant , GRUNDSTROM, Carl
IPC分类号： H04R9/08 , H04R9/10 , H04R19/04
CPC分类号： H04R3/00 , G10L21/02 , G10L25/27 , G10L2021/02165 , H04R2410/05 , H04R2499/11
摘要： Techniques for processing audio signals include removing noise from the audio signals or otherwise clarifying the audio signals prior to outputting the audio signals. The disclosed techniques may employ minimum mean squared error (MMSE) analyses on audio signals received from a primary microphone and at least one reference microphone, and to techniques in which the MMSE analyses are used to reduce or eliminate noise from audio signals received by the primary microphone. Optionally, confidence intervals may be assigned to different frequency bands of an audio signal, with each confidence interval corresponding to a likelihood that its respective frequency band includes targeted audio, and each confidence interval representing a contribution of its respective frequency band in a reconstructed audio signal from which noise has been removed.
摘要翻译：用于处理音频信号的技术包括在输出音频信号之前从音频信号中去除噪声或以其它方式澄清音频信号。所公开的技术可以对从主麦克风和至少一个参考麦克风接收的音频信号采用最小均方误差（MMSE）分析，以及使用MMSE分析来减少或消除由主要麦克风接收的音频信号的噪声的技术麦克风。可选地，可以将置信区间分配给音频信号的不同频带，每个置信区间对应于其相应频带包括目标音频的似然性，并且每个置信区间表示重构音频信号中其各自频带的贡献从哪个噪音已被删除。

6. 发明申请

WO2012119140A3 SYSTEM FOR AUTONONOUS DETECTION AND SEPARATION OF COMMON ELEMENTS WITHIN DATA, AND METHODS AND DEVICES ASSOCIATED THEREWITH 审中-公开
公开(公告)号：WO2012119140A3
公开(公告)日：2012-09-07
申请号：PCT/US2012/027638
申请日：2012-03-03
申请人： CYPHER, LLC
发明人： EDWARDS, Tyson, Lavar
IPC分类号： G10L15/04
摘要： A data interpretation and separation system for identifying data elements within a data set that have common features, and separating those data elements from other data elements not sharing such common features. Commonalities relative to methods and/or rates of change within a data set may be used to determine which elements share common features. Determining the commonalities may be performed autonomously by referencing data elements within the data set, and need not be matched against algorithmic or predetermined definitions. Interpreted and separated data may be used to reconstruct an output that includes only separated data. Such reconstruction may be non-destructive. Interpreted and separated data may also be used to retroactively build on existing element sets associated with a particular source.

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