Abstract: A system for extracting speaker information in an ATC transcription and displaying the speaker information on a graphical display unit is provided. The system is configured to: segment a stream of audio received from an ATC and other aircraft into a plurality of chunks; determine, for each chunk, if the speaker is enrolled in an enrolled speaker database; when the speaker is enrolled in the enrolled speaker database, decode the chunk using a speaker-dependent automatic speech recognition (ASR) model and tag the chunk with a permanent name for the speaker; when the speaker is not enrolled in the enrolled speaker database, assign a temporary name for the speaker, tag the chunk with the temporary name, and decode the chunk using a speaker independent speech recognition model; format the decoded chunk as text; and signal the graphical display unit to display the formatted text along with an identity for the speaker.

Abstract: Systems and methods are provided for the selection of a speech model for automatic speech recognition during the runtime of a transcription system, the system includes an event detector to determine one of a number of flight events that include flight plan changes and phase transitions based on data received from a set of inputs; an intelligent keyword generator to collate a set of keywords associated with the flight plan information and to generate a wordlist in response to a determination by the event detector of flight plan changes or flight phase transitions; and a processor to determine whether the wordlist is covered by a current speech model implemented in the automatic speech recognition wherein if the wordlist is not covered by the current speech model, then the processor to select a pre-built speech model that covers the wordlist for use as the current speech model in the automatic speech recognition.

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: A system for extracting speaker information in an ATC transcription and displaying the speaker information on a graphical display unit is provided. The system is configured to: segment a stream of audio received from an ATC and other aircraft into a plurality of chunks; determine, for each chunk, if the speaker is enrolled in an enrolled speaker database; when the speaker is enrolled in the enrolled speaker database, decode the chunk using a speaker-dependent automatic speech recognition (ASR) model and tag the chunk with a permanent name for the speaker; when the speaker is not enrolled in the enrolled speaker database, assign a temporary name for the speaker, tag the chunk with the temporary name, and decode the chunk using a speaker independent speech recognition model; format the decoded chunk as text; and signal the graphical display unit to display the formatted text along with an identity for the speaker.

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.