Abstract:
A hands-free audio system for a vehicle and method of using the system is described. The method includes controlling the directionality of a vehicle microphone. The steps of the method may include: (a) receiving a sensor value from at least one of a vehicle seat position sensor, a vehicle seat orientation sensor, or a vehicle mirror orientation sensor; (b) based on the received sensor value(s) of step (a), determining an origin of a vehicle user's speech; and (c) controlling the microphone sensitivity directionality based on the determined origin.
Abstract:
A system and method of recognizing speech in a vehicle. The method includes receiving a voice command at the vehicle via a microphone in the vehicle, and obtaining a recognition result from speech recognition performed on the received voice command. The recognition result may represent the voice command and be indicative of any of two or more available vehicle commands. The method may further include selecting one of the two or more available vehicle commands based on a secondary characteristic and an attribute of the selected one of the vehicle commands. The system may be implemented as vehicle electronics that include a microphone located within the vehicle and configured to receive a voice command from a user located within the vehicle, and a controller in communication with the microphone. The controller may be configured to perform speech recognition on the voice command and obtain a disambiguated recognition result.
Abstract:
A system and method of adjusting digital audio sampling used with wideband audio includes: performing audio sampling on an analog audio signal at an initial sampling rate and an initial bit rate over a wideband audio frequency range; generating a digital audio signal based on the audio sampling; detecting a qualitative error rate between the analog audio signal and the digital audio signal; and decreasing the initial sampling rate, the initial bit rate, or both for sampling subsequent analog audio when the qualitative error is below a threshold.
Abstract:
A method of processing audio received at a plurality of microphones in a vehicle includes receiving the audio as a first audio stream and second audio stream at respective first and second microphones that are positioned at different locations within the vehicle; creating a first digital time series and a second digital time series that represent the first audio stream and the second audio stream, respectively; calculating a delay that exists between the first audio stream and the second audio stream based on a cross-correlation of the first digital time series and the second digital time series; and processing the received audio using the calculated delay.
Abstract:
A method for classifying a road surface being traversed by a vehicle. The method comprises receiving one or more electrical signals each representative of a vibration detected by a sensor carried by the vehicle. The method further comprises identifying, for at least one of the received electrical signals, a pattern in the detected vibration represented by that/those signal(s), and matching the identified pattern to one of one or more known patterns, wherein each known pattern corresponds to a respective road surface classification. The method further comprises classifying the road surface in accordance with the road surface classification corresponding to the known pattern matching the identified pattern. A system comprising one or more sensors carried by the vehicle that is/are configured to detect a vibration, and a pattern classification system for performing the methodology described above, is also provided.
Abstract:
Methods and systems are provided for managing speech dialog of a speech system. In one embodiment, a method includes: receiving a first utterance from a user of the speech system; determining a first list of possible results from the first utterance, wherein the first list includes at least two elements that each represent a possible result; analyzing the at least two elements of the first list to determine an ambiguity of the elements; and generating a speech prompt to the user based on partial orthography and the ambiguity.
Abstract:
A method of choosing a nametag using automatic speech recognition (ASR) includes: receiving a spoken nametag via a microphone; performing a first speech recognition analysis on the spoken nametag; determining that the first speech recognition analysis outputs only handheld wireless device nametags; performing a second speech recognition analysis that excludes the handheld wireless device nametags stored at the handheld wireless device; and combining the results of the first speech recognition analysis and the second speech recognition analysis.
Abstract:
A system and method of controlling machine-generated speech in a vehicle includes: receiving a machine-generated voice selection from a vehicle occupant; accessing the machine-generated voice at the vehicle based on the selection; converting text to speech based on the machine-generated voice; and generating the speech through a vehicle audio system using the machine-generated voice selection.
Abstract:
A vehicle including a passenger compartment having a rear seating area is described. A method for monitoring the rear seating area of the passenger compartment includes monitoring a vehicle operating state comprising one of a key-on state and a key-off state and monitoring the rear seating area. A presence or absence of a passenger in the rear seating area is detected based upon the monitoring, and a control routine is executed based upon the vehicle operating state and the presence or absence of a passenger in the rear seating area.
Abstract:
A method of processing audio received at a plurality of microphones in a vehicle includes receiving the audio as a first audio stream and second audio stream at respective first and second microphones that are positioned at different locations within the vehicle; creating a first digital time series and a second digital time series that represent the first audio stream and the second audio stream, respectively; calculating a delay that exists between the first audio stream and the second audio stream based on a cross-correlation of the first digital time series and the second digital time series; and processing the received audio using the calculated delay.