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    • 8. 发明申请
    • EMPLOYING USER INPUT TO FACILITATE INFERENTIAL SOUND RECOGNITION BASED ON PATTERNS OF SOUND PRIMITIVES
    • 使用用户输入,以便根据声音原型的形式来辅助不懈的声音识别
    • US20160379666A1
    • 2016-12-29
    • US15256236
    • 2016-09-02
    • OtoSense Inc.
    • Sebastien J.V. ChristianThor C. Whalen
    • G10L25/48G06N99/00G10L21/10
    • G06N99/005G08B13/1672G08B21/182G10H2210/031G10H2220/131G10H2240/075G10L21/10G10L21/14G10L25/27
    • The disclosed embodiments provide a system that generates sound primitives to facilitate sound recognition. First, the system performs a feature-detection operation on sound samples to detect a set of sound features, wherein each sound feature comprises a measurable characteristic of a window of consecutive sound samples. Next, the system creates feature vectors from coefficients generated by the feature-detection operation, wherein each feature vector comprises a set of coefficients for sound features detected in a window. The system then performs a clustering operation on the feature vectors to produce feature-vector clusters, wherein each feature-vector cluster comprises a set of feature vectors that are proximate to each other in a feature-vector space that contains the feature vectors. After the clustering operation, the system defines a set of sound primitives, wherein each sound primitive is associated with a feature-vector cluster. Finally, the system associates semantic labels with the set of sound primitives.
    • 所公开的实施例提供了一种产生声音原语以促进声音识别的系统。 首先,系统对声音样本执行特征检测操作以检测一组声音特征,其中每个声音特征包括连续声音样本的窗口的可测量特性。 接下来,系统从由特征检测操作生成的系数创建特征向量,其中每个特征向量包括用于在窗口中检测到的声音特征的一组系数。 然后,系统对特征向量执行聚类操作以产生特征向量群集,其中每个特征向量群集包括在包含特征向量的特征向量空间中彼此邻近的特征向量集合。 在聚类操作之后,系统定义一组声音原语,其中每个声音原语与特征向量集群相关联。 最后,系统将语义标签与声音原语集合相关联。
    • 9. 发明申请
    • SYSTEMS AND METHODS FOR IDENTIFYING A SOUND EVENT
    • 用于识别声音事件的系统和方法
    • US20150221321A1
    • 2015-08-06
    • US14616627
    • 2015-02-06
    • OtoSense, Inc.
    • Sebastien J.V. Christian
    • G10L25/48G10L25/27
    • G10L25/27G08B1/08G08B17/10G08B21/18G10H2210/301G10L21/14G10L25/48
    • Systems and methods for identifying a perceived sound event are provided. In one exemplary embodiment, the system includes an audio signal receiver, a processor, and an analyzer. The system deconstructs a received audio signal into a plurality of audio chunks, for which one or more sound identification characteristics are determined. One or more distances of a distance vector are then calculated based on one or more of the sound identification characteristics. The distance vector can be a sound gene that serves as an identifier for the sound event. The distance vector for a received audio signal is compared to distance vectors of predefined sound events to identify the source of the received audio signal. A variety of other systems and methods related to sound identification are also provided.
    • 提供了用于识别感知声音事件的系统和方法。 在一个示例性实施例中,系统包括音频信号接收器,处理器和分析器。 系统将接收到的音频信号解构成多个音频块,为此确定一个或多个声音识别特征。 然后基于一个或多个声音识别特征来计算距离矢量的一个或多个距离。 距离矢量可以是用作声音事件的标识符的声音基因。 将接收到的音频信号的距离矢量与预定声音事件的距离矢量进行比较,以识别所接收的音频信号的源。 还提供了与声音识别相关的各种其他系统和方法。
    • 10. 发明申请
    • DEVICE, METHOD AND SYSTEM FOR INSTANT REAL TIME NEURO-COMPATIBLE IMAGING OF A SIGNAL
    • 用于实时信号的神经元兼容成像的装置,方法和系统
    • US20150221190A1
    • 2015-08-06
    • US14615290
    • 2015-02-05
    • Otosense Inc.
    • Sebastien J.V. Christian
    • G08B7/06G08B21/18
    • G10L25/27G08B1/08G08B17/10G08B21/18G10H2210/301G10L21/14G10L25/48
    • A method, apparatus and system for transforming a progressing sound signal into a progressing visual pattern, the progressing visual pattern being perceptible and recognizable as the progressing sound signal to a user in real time. The progressing visual pattern displays in real time a set of optical attributes, the set of optical attributes being transformations from a set of sound features that define the sound signal in real time. The sound features and optical attributes, along with changes in the sound features and optical attributes over time, are preselected to be isomorphic to sound, perceptible to human vision, efficiently processed by human cognition, and therefore to be recognizable to a human who has been exposed and actively or passively trained to it.
    • 一种用于将进行中的声音信号变换为进行中的视觉图形的方法,装置和系统,将进行中的视觉模式作为进行中的声音信号被实时感知和识别为用户。 进行的视觉图案实时地显示一组光学属性,该光学属性的集合是来自一组声音特征的实时定义声音信号的变换。 声音特征和光学属性以及随时间的声音特征和光学属性的变化被预先选择为与人类视觉可察觉的声音同构,由人类认知有效地处理,并且因此被识别为已经被人 暴露并积极或被动地训练它。