公开(公告)号：US20140207314A1

公开(公告)日：2014-07-24

申请号：US13851667

申请日：2013-03-27

Applicant: DASSAULT AVIATION

Inventor： Paul KOU ,  Jerome BARRAL ,  Cyril SAINT-REQUIER ,  Eric BOULLE

IPC: B64D45/00

CPC classification number: B64D45/00 ,  B64D43/00 ,  G01C23/00

Abstract: The system includes additional display means including at least one additional screen and additional graphic interface handling means of the additional screen (able to display on the additional screen, a summary window depending on the operational state of the aircraft. The summary window comprises at least one first pictogram able to be displayed on a first display window of main display means of the aircraft without being displayed on the second window of the main display means, and at least one second pictogram intended to be displayed on the second display window of the main display means without being displayed on the first window of the main display means.

Abstract translation: 该系统包括附加显示装置，其包括附加屏幕的至少一个附加屏幕和附加图形界面处理装置（能够在附加屏幕上显示取决于飞行器的操作状态的汇总窗口），总结窗口包括至少一个 可以在主显示装置的第二窗口上显示的第一个象形图能够显示在主显示装置的主显示装置的第一显示窗口上，以及要显示在主显示器的第二显示窗口上的至少一个第二象形图 意味着不显示在主显示装置的第一窗口上。

公开(公告)号：US20170076722A1

公开(公告)日：2017-03-16

申请号：US15264722

申请日：2016-09-14

Applicant: DASSAULT AVIATION

Inventor： Hervé GIROD ,  Paul KOU ,  Jean-Franoisç SAEZ

IPC: G10L15/22 ,  B64C39/02 ,  G06F3/01 ,  B64D43/00 ,  G10L15/18 ,  G10L15/02

CPC classification number: G10L15/22 ,  B64C39/024 ,  B64C2201/146 ,  B64D43/00 ,  G06F3/012 ,  G06F3/013 ,  G10L15/02 ,  G10L15/1815 ,  G10L15/187 ,  G10L2015/025 ,  G10L2015/223 ,  G10L2015/227 ,  G10L2015/228

Abstract: An automatic speech recognition with detection of at least one contextual element, and application to aircraft flying and maintenance are provided. The automatic speech recognition device comprises a unit for acquiring an audio signal, a device for detecting the state of at least one contextual element, and a language decoder for determining an oral instruction corresponding to the audio signal. The language decoder comprises at least one acoustic model defining an acoustic probability law and at least two syntax models each defining a syntax probability law. The language decoder also comprises an oral instruction construction algorithm implementing the acoustic model and a plurality of active syntax models taken from among the syntax models, a contextualization processor to select, based on the state of the order each contextual element detected by the detection device, at least one syntax model selected from among the plurality of active syntax models, and a processor for determining the oral instruction corresponding to the audio signal.

Abstract translation: 提供了具有至少一个语境元素的检测的自动语音识别以及飞机飞行和维护的应用。 自动语音识别装置包括用于获取音频信号的单元，用于检测至少一个语境元素的状态的装置，以及用于确定与音频信号对应的口头指令的语言解码器。 语言解码器包括定义声学概率定律的至少一个声学模型和每个限定语法概率定律的至少两个语法模型。 语言解码器还包括实现声学模型的口头指令构造算法和从语法模型中获取的多个主动语法模型，语境化处理器，基于由检测装置检测到的每个上下文元素的顺序的状态来选择， 从多个活动语法模型中选择的至少一个语法模型，以及用于确定与音频信号相对应的口头指令的处理器。