Abstract:
A system and method of changing features of an existing automatic speech recognition (ASR) system includes: monitoring speech received from a vehicle occupant for one or more keywords identifying a feature to remove from or add to the ASR system; detecting the keywords in the monitored speech; and adding the identified feature to or removing the identified feature from from the ASR system.
Abstract:
A system and method of controlling an automatic speech recognition (ASR) system includes: detecting changes in ambient noise via a microphone in a vehicle equipped with the ASR system; determining an environmental noise compensation value and a channel bias compensation value based on the detected changes; and applying the environmental noise compensation value and a channel bias compensation value to speech received by the ASR system.
Abstract:
A method for recognizing speech in a vehicle includes receiving speech at a microphone installed to a vehicle, and determining whether the speech includes a navigation instruction. If the speech includes a navigation instruction, the speech may be sent to a remote facility. After sending the speech to the remote facility, a local speech recognition result is provided in the vehicle to the user. The speech sent to the remote facility may be used to provide corrective action. A system for recognizing speech in a vehicle may include a microphone, and may be configured to determine a local speech recognition result from the speech command and determine when the speech command includes a navigation instruction. The system may further include a remote server in communication with the vehicle that receives a sample of the speech command from the speech recognition system when the speech command includes a navigation instruction.
Abstract:
A system and method of performing automatic speech recognition (ASR) includes: receiving speech at a vehicle microphone; communicating the received speech to an ASR system; measuring an amount of time that elapses while speech is received; selecting a point-of-interest (POI) context or an address context based on the measured amount of received time; and processing the received speech using a POI context-based grammar when a POI context is selected or an address-based grammar when an address context is selected.
Abstract:
A processor receives a broadcast in a vehicle, select audio data from the broadcast, processes the audio data selected from the broadcast, determines a phonetic pattern of the selected audio data based on the processing, selects additional instances of audio data from the broadcast that resemble the selected audio data, processes the additional instances of audio data from the broadcast, determine phonetic patterns of the additional instances of audio data, and selects a plurality of phonetic patterns from the phonetic pattern of the selected audio data and the phonetic patterns of the additional instances of audio data. A transmitter transmits the plurality of phonetic patterns to a server to determine an optimal pronunciation of the selected audio data based on a statistical analysis of the plurality of phonetic patterns and to add the optimal pronunciation of the selected audio data to a database used to recognize speech in the vehicle.
Abstract:
A system and method of recognizing speech received at a vehicle includes: receiving speech from a vehicle occupant via a microphone; determining whether the speech relates to a point of interest (POI) or an address without receiving a POI command prompt or an address command prompt in the speech from the vehicle occupant; selecting a POI function or an address function based on the determination; and processing the received speech to identify a POI or an address.
Abstract:
A system and method of controlling an automatic speech recognition (ASR) system includes: determining the location of a vehicle; identifying terrestrial radio stations in a database that are within a range of the vehicle location based on geographic locations of the terrestrial radio stations stored in the database; and altering the content of a speech grammar used by the ASR system to process speech received in the vehicle that requests a terrestrial radio station.
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 controlling an automatic speech recognition (ASR) system includes: receiving speech at the ASR system from a vehicle occupant that includes a command to control a vehicle function; identifying a gate command from the speech; associating the identified gate command with the command to control the vehicle function; storing the associated gate command and vehicle command in a database; receiving additional speech at the ASR system from the vehicle occupant; detecting the gate command in the additional speech; and accessing the stored gate command and vehicle command from the database.
Abstract:
At least first and second microphones with different frequency responses form part of a speech recognition system. The microphones are coupled to a processor that is configured to recognize a spoken word based on the microphone signals. The processor classifies the spoken word, and weights the signals from the microphones based on the classification of the spoken word.