Abstract: Methods and systems for speech recognition in an aircraft are disclosed. Methods and systems include executing an air traffic control transcription application using first acoustic and language models and executing a command and control speech recognition application using second acoustic and language models. Flight context data is processed to identify additional words not included in training of the second acoustic and language model but included in training of the first acoustic and language models. Acoustic and language model parameters are extracted corresponding to the additional words from the first acoustic and language models. The extracted acoustic and language model parameters are added to the second acoustic and language models. An aircraft control command is generated that encapsulates at least one of the additional words using the command and control speech recognition application.

Abstract: Methods and systems are provided for assisting operation of a vehicle using speech recognition. One method involves identifying a user-configured speech recognition performance setting value selected from among a plurality of speech recognition performance setting values, selecting a speech recognition model configuration corresponding to the user-configured speech recognition performance setting value from among a plurality of speech recognition model configurations, where each speech recognition model configuration of the plurality of speech recognition model configurations corresponds to a respective one of the plurality of speech recognition performance setting values, and recognizing an audio input as an input state using the speech recognition model configuration corresponding to the user-configured speech recognition performance setting value.

Abstract: Systems and methods for indicating communication effectiveness with air traffic control (ATC) are disclosed. The method includes: receiving a transcribed message containing a plurality of words used by an ownship flight crew member in a communication directed to ATC; determining a message intent of the transcribed message from the words used in the communication; identifying a plurality of ideal words that should be used for an ideal message having the same message intent as the transcribed message; comparing the words used in the communication with the words that should have been used in the ideal message; determining based on the comparing whether the words used in the communication conformed to ATC standard phraseology (e.g., ICAO Pilot communication vocabulary); generating an indicator for flight crew that indicates whether the words used in the communication conformed to ATC standard phraseology; and signaling an aircraft display device to display the indicator.

Abstract: Disclosed is a flight deck system comprising a controller for displaying message content from an ATC conversation. The controller is configured to: receive extracted message content from a plurality of messages; and generate a ticker tape graphical element having a first panel and a second panel for display as an overlay over a primary display on an aircraft display device. The first panel has a main panel for displaying message content for a most recently received message and one or more subsidiary panels for displaying message content for up to a first predetermined number of the most recently received messages. The second panel has a bookmark main panel for displaying message content for a second predetermined number of the most recently received bookmarked messages and one or more bookmark subsidiary panels for displaying message content for a third predetermined number of the most recently received bookmarked messages.

Abstract: Methods and systems are provided for displaying transcriptions of radio communication transcription for an aircraft. The method comprises capturing audio signals of radio communication traffic to and from the aircraft. The captured audio signals are preprocessed to divide the signals into independent spoken utterances. Each spoken utterance is transcribed using a speech recognition decoder that utilizes an air traffic control (ATC) speech recognition model and classification data is extracted from the transcription of each spoken utterance. The transcription of each spoken utterance is logged with reference to the classification data and a textual display of the transcription is provided to a crew member of the aircraft.

Abstract: Methods and systems are provided for assisting operation of a vehicle using speech recognition. One method involves identifying a user-configured speech recognition performance setting value selected from among a plurality of speech recognition performance setting values, selecting a speech recognition model configuration corresponding to the user-configured speech recognition performance setting value from among a plurality of speech recognition model configurations, where each speech recognition model configuration of the plurality of speech recognition model configurations corresponds to a respective one of the plurality of speech recognition performance setting values, and recognizing an audio input as an input state using the speech recognition model configuration corresponding to the user-configured speech recognition performance setting value.

Abstract: Methods and systems are provided for assisting operation of a vehicle using speech recognition. One method involves analyzing a transcription of an audio communication with respect to the vehicle to characterize a nonstandard pattern within the transcription of the audio communication, obtaining a ground truth for the transcription of the audio communication, determining one or more performance metrics associated with the nonstandard pattern within the transcription based on a relationship between the transcription of the audio communication and the ground truth for the transcription, updating a speech recognition vocabulary for the vehicle to include the nonstandard pattern based at least in part on the one or more performance metrics and determining an updated speech recognition model for the vehicle using the updated speech recognition vocabulary and the audio communication.

Abstract: A voice recognition system in an aircraft is provided. The voice recognition system includes: a voice recognition controller configured to receive a voice command from a flight crew member voice interface, convert the voice command to an avionics system command, and forward the avionics system command to an avionics system for execution. The voice recognition system further includes an application controller configured to: receive the avionics system command that has been converted from the voice command; determine whether the avionics system command can be performed; cause the avionics system command to be performed when it is determined that the avionics system command can be performed; and when it is determined that the avionics system command cannot be performed, generate a message that provides a reason why the avionics system command cannot be performed and cause the message to be displayed on a display device and/or annunciated on an aural device.

Abstract: Methods and systems for speech recognition in an aircraft are disclosed. Methods and systems include executing an air traffic control transcription application using first acoustic and language models and executing a command and control speech recognition application using second acoustic and language models. Flight context data is processed to identify additional words not included in training of the second acoustic and language model but included in training of the first acoustic and language models. Acoustic and language model parameters are extracted corresponding to the additional words from the first acoustic and language models. The extracted acoustic and language model parameters are added to the second acoustic and language models. An aircraft control command is generated that encapsulates at least one of the additional words using the command and control speech recognition application.