Ford Global Technolgoies, LLC

Brigitte Frances Mora Richardson

Gintaras Vincent Puskorius

Scott Andrew Amman

Francois Charette

John Edward Huber

Ali Hassani

Ranjani Rangarajan

An Ji

Mark Edward Porter

Brian Bennie

Thomas Lee Miller

Scott Alan Watkins

Anthony Dwayne Cooprider

Michael Alan Blommer

Allan Miramonti

A processor of a vehicle speech recognition system recognizes speech via domain-specific language and acoustic models. The processor further, in response to the acoustic model having a confidence score for recognized speech falling within a predetermined range defined relative to a confidence score for the domain-specific language model, recognizes speech via the acoustic model only.

Acoustic and domain based speech recognition for vehicles

An automatic speech recognition system for a vehicle includes a controller configured to select an acoustic model from a library of acoustic models based on ambient noise in a cabin of the vehicle and operating parameters of the vehicle. The controller is further configured to apply the selected acoustic model to noisy speech to improve recognition of the speech.

Vehicle having dynamic acoustic model switching to improve noisy speech recognition

A system includes a head and torso simulation (HATS) system configured to play back pre-recorded audio commands while simulating a driver head location as an output location. The system also includes a vehicle speaker system and a processor configured to engage a vehicle heating, ventilation and air-conditioning (HVAC) system. The processor is also configured to play back audio commands through the HATS system while playing back pre-recorded vehicle environment noises through the speaker system. The processor is further configured to determine if the audio command, recorded by a vehicle microphone, is recognizable in the presence of the environment noises and HVAC noises. Also, the processor is configured to repeat the engagement, playback of commands and noises, and determination, recording the results of the determination for each command in a set of commands.

Method and apparatus for tuning speech recognition systems to accommodate ambient noise

An apparatus for detecting an impairment state of a driver in a vehicle is provided. The apparatus comprises a vehicle interface device configured to receive a first audible signal from a driver indicative of at least one word while the driver is in a non-impaired state and to determine a first total time to recite the at least the word based on the first audible signal. The vehicle interface device is further configured to command the driver to recite the at least one word to determine the impairment state of the driver and to receive a second audible signal from the driver indicative of the at least one word. The vehicle interface device is further configured to determine a second total time to recite the at least one word based on the second audible signal and to compare the first total time to the second total time.

System and method for establishing acoustic metrics to detect driver impairment

At least one spoken utterance and a stored vehicle acoustic impulse response can be provided to a computing device. The computing device is programmed to provide at least one speech file based at least in part on the spoken utterance and the vehicle acoustic impulse response.

Acoustic impulse response simulation

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West Bloomfield, MI, United States of America

Brigitte Frances Mora Richardson