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    • 1. 发明授权
    • Mount for supporting a microphone on a helmet
    • 用于支撑头盔上的麦克风
    • US5590209A
    • 1996-12-31
    • US279282
    • 1994-07-22
    • David S. PrattPhilip BourgeoisEdward J. Cornelius, IIIChin H. LeeBlaise G. Stoltenberg
    • David S. PrattPhilip BourgeoisEdward J. Cornelius, IIIChin H. LeeBlaise G. Stoltenberg
    • A42B3/30H04R1/08H04R25/00
    • A42B3/30H04R1/083Y10S2/906
    • A mount for supporting a microphone on a helmet having an outer shell and for use with a transmission cable. The microphone is mounted on a flexible boom carrying leads connected to the microphone. The transmission cable carries electrical conductors. The mount includes an attachment assembly having a surface with a contour which conforms to the outer shell of the helmet. The attachment assembly is provided with a sleeve-like member adapted to receive the flexible boom and a retainer for receiving the transmission cable. Connectors are carried within the attachment assembly for electrically connecting the electrical conductors from the transmission cable to the leads to the microphone. A layer of an adhesive material is carried by the surface of the attachment assembly and is adapted to fasten the attachment assembly to the outer shell of the helmet. The layer of adhesive material permits the fastening of the attachment assembly to the helmet without impairing the structural integrity of the helmet.
    • 用于将麦克风支撑在具有外壳并用于传输电缆的头盔上的支架。 麦克风安装在柔性吊杆上,承载连接到麦克风的导线。 传输电缆承载电导线。 该安装件包括具有与头盔的外壳一致的轮廓的表面的附接组件。 附接组件设置有适于容纳柔性吊杆的套筒状构件和用于接收传动电缆的保持器。 连接器被承载在附接组件内,用于将电导体从传输电缆电连接到麦克风的导线。 一层粘合剂材料由附接组件的表面承载,并且适于将附接组件固定到头盔的外壳上。 粘合剂材料层允许将附件组件固定在头盔上,而不损害头盔的结构完整性。
    • 3. 发明授权
    • Speech recognition employing key word modeling and non-key word modeling
    • 语音识别采用关键词建模和非关键词建模
    • US5509104A
    • 1996-04-16
    • US132430
    • 1993-10-06
    • Chin H. LeeLawrence R. RabinerJay G. Wilpon
    • Chin H. LeeLawrence R. RabinerJay G. Wilpon
    • G10L15/00G10L15/14G10L5/00
    • G10L15/142G10L2015/088
    • Speaker independent recognition of small vocabularies, spoken over the long distance telephone network, is achieved using two types of models, one type for defined vocabulary words (e.g., collect, calling-card, person, third-number and operator), and one type for extraneous input which ranges from non-speech sounds to groups of non-vocabulary words (e.g. `I want to make a collect call please`). For this type of key word spotting, modifications are made to a connected word speech recognition algorithm based on state-transitional (hidden Markov) models which allow it to recognize words from a pre-defined vocabulary list spoken in an unconstrained fashion. Statistical models of both the actual vocabulary words and the extraneous speech and background noises are created. A syntax-driven connected word recognition system is then used to find the best sequence of extraneous input and vocabulary word models for matching the actual input speech.
    • 使用两种类型的模型来实现对长途电话网络上的小词汇的独立识别,一种用于定义的词汇单词(例如,收集,呼叫卡,人,第三号码和运营商)的模型,以及一种类型 对于从非语音声音到非词汇单词组(例如“我想要收集电话”)的无关输入。 对于这种类型的关键词发现,对基于状态转换(隐马尔科夫)模型的连接词语音识别算法进行修改,这允许其识别来自以无限制方式说明的预定义词汇列表中的单词。 创建实际词汇单词和无关语音和背景噪声的统计模型。 然后使用语法驱动的连接词识别系统来找到用于匹配实际输入语音的外来输入和词汇词模型的最佳序列。