Speech recognition in a vehicle
AssigneeFord Global Technologies, LLC
InventorsOmar Makke, Oleg Gusikhin, Haysam M. Kadry
Life of this patent
Estimating the term…
Abstract
An audio sample including speech and ambient sounds is transmitted to a vehicle computer. Recorded audio is received from the vehicle computer, the recorded audio including the audio sample broadcast by the vehicle computer and recorded by the vehicle computer and recognized speech from the recorded audio. The recognized speech and text of the speech are input to a machine learning program that outputs whether the recognized speech matches the text. When the output from the machine learning program indicates that the recognized speech does not match the text, the recognized speech and the text are included in a training dataset for the machine learning program.
Claims18
A system, comprising a computer including a processor and a memory, the memory storing instructions executable by the processor to:
- transmit, via a network, an audio sample including speech and ambient sounds to a vehicle computer;
- broadcast the audio sample in a vehicle of the vehicle computer;
- record, from the vehicle computer, audio from the audio sample;
- recognize, by the vehicle computer, speech in the recorded audio from the audio sample;
- receive, via the network from the vehicle computer, the recorded audio including the audio sample;
- receive, via the network from the vehicle computer, the recognized speech from the recorded audio;
- identify text of the recognized speech from the recorded audio;
- input the recognized speech and the identified text of the recognized speech to a machine learning program that outputs whether the recognized speech matches the identified text;
- and
- when the output from the machine learning program indicates that the recognized speech does not match the text include the recognized speech and the text in a training dataset for the machine learning program;
- wherein the machine learning program is trained to output, from the recorded audio, a detection of a vibration from a vehicle subsystem indicating potential maintenance for the vehicle subsystem;
- and
- identify a variation in the vehicle subsystem based on the output detected vibration from the recorded audio and a vibration predicted by a prognostics model of the vehicle subsystem.
A method, comprising:
- transmitting, via a network, an audio sample including speech and ambient sounds to a vehicle computer;
- broadcasting the audio sample in a vehicle of the vehicle computer;
- recording, from the vehicle computer, audio from the audio sample;
- recognizing, by the vehicle computer, speech in the recorded audio from the audio sample;
- receiving, via the network from the vehicle computer, the recorded audio including the audio sample:
- receiving, via the network from the vehicle computer, the recognized speech from the recorded audio;
- identifying text of the recognized speech from the recorded audio;
- inputting the recognized speech and the identified text of the recognized speech to a machine learning program that outputs whether the recognized speech matches the identified text;
- and
- when the output from the machine learning program indicates that the recognized speech does not match the text, including the recognized speech and the text in a training dataset for the machine learning program;
- wherein the machine learning program is trained to output, from the recorded audio, a detection of a vibration from a vehicle subsystem indicating potential maintenance for the vehicle subsystem;
- and
- identifying a variation with the vehicle subsystem based on the output detected vibration from the recorded audio and a vibration predicted by a prognostics model of the vehicle subsystem.
Dependencies are inferred from the claim text.