Speech recognition method and apparatus
US-2018173494-A1 · Jun 21, 2018 · US
US10637985B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-10637985-B1 |
| Application number | US-201916423328-A |
| Country | US |
| Kind code | B1 |
| Filing date | May 28, 2019 |
| Priority date | May 28, 2019 |
| Publication date | Apr 28, 2020 |
| Grant date | Apr 28, 2020 |
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In one embodiment, a system for locating a mobile phone in a vehicle is provided. The system includes one or more processors and a memory communicably coupled to the one or more processors and storing a detection module and a safety module. The detection module including instructions that when executed by the one or more processors cause the one or more processors to: determine that a mobile phone is located in a vehicle. The safety module including instructions that when executed by the one or more processors cause the one or more processors to: in response to the determination, play a sound in the vehicle; record the sound played in the vehicle; based on the recorded sound and a sound model, determine if the mobile phone is in a driver seat of the vehicle; and if it is determined that the mobile phone is in the driver seat of the vehicle, disable at least some functionality of the mobile phone.
Opening claim text (preview).
What is claimed is: 1. A system for locating a mobile phone in a vehicle comprising: one or more processors; a memory communicably coupled to the one or more processors and storing: a detection module including instructions that when executed by the one or more processors cause the one or more processors to: determine that a mobile phone is located in a vehicle; and a safety module including instructions that when executed by the one or more processors cause the one or more processors to: in response to the determination, play a sound in the vehicle; record the sound played in the vehicle; based on the recorded sound and a sound model, determine if the mobile phone is in a driver seat of the vehicle; and if it is determined that the mobile phone is in the driver seat of the vehicle, disable at least some functionality of the mobile phone. 2. The system of claim 1 , wherein the safety module further includes instructions that when executed by the one or more processors cause the one or more processors to: determine that the vehicle has stopped moving; and in response to the determination, enable the at least some functionality of the mobile phone. 3. The system of claim 1 , wherein the safety module further includes instructions that when executed by the one or more processors cause the one or more processors to: determine that the mobile phone has moved within the vehicle; and in response to determining that the mobile phone has moved within the vehicle: play the sound in the vehicle; record the sound played in the vehicle; based on the recorded sound and the sound model, determine if the mobile phone is in the driver seat of the vehicle; and if it is determined that the mobile phone is in the driver seat of the vehicle, disable the at least some functionality of the mobile phone. 4. The system of claim 1 , wherein the safety module further includes instructions that when executed by the one or more processors cause the one or more processors to: determine a vehicle type of the vehicle; and select the sound model from a plurality of sound models based on the determined vehicle type. 5. The system of claim 4 , wherein each sound model of the plurality of sound models is trained using a different vehicle type of a plurality of vehicle types. 6. The system of claim 1 , wherein the sound is played from a vehicle speaker. 7. The system of claim 1 , wherein the sound is played from a speaker of the mobile phone. 8. The system of claim 1 , wherein the sound is a sine sweep. 9. A method for locating a mobile phone in a vehicle comprising: determining that a mobile phone is located in a vehicle; in response to the determination, playing a sound in the vehicle; recording the sound played in the vehicle; based on the recorded sound and a sound model, determining if the mobile phone is in a driver seat of the vehicle; and if it is determined that the mobile phone is in the driver seat of the vehicle, disabling at least some functionality of the mobile phone. 10. The method of claim 9 , further comprising: determining that the vehicle has stopped moving; and in response to the determination, enabling the at least some functionality of the mobile phone. 11. The method of claim 9 , further comprising: determining that the mobile phone has moved within the vehicle; and in response to the determining that the mobile phone has moved within the vehicle: playing the sound in the vehicle; recording the sound played in the vehicle; based on the recorded sound and the sound model, determining if the mobile phone is in the driver seat of the vehicle; and if it is determined that the mobile phone is in the driver seat of the vehicle, disabling the at least some functionality of the mobile phone. 12. The method of claim 9 , further comprising: determining a vehicle type of the vehicle; and selecting the sound model from a plurality of sound models based on the determined vehicle type. 13. The method of claim 12 , wherein each sound model of the plurality of sound models is trained using a different vehicle type of a plurality of vehicle types. 14. The method of claim 9 , wherein the sound is played from a vehicle speaker. 15. The method of claim 9 , wherein the sound is played from a speaker of the mobile phone. 16. The method of claim 9 , wherein the sound is recorded from a microphone associated with the mobile phone. 17. The method of claim 9 , wherein the sound is a sine sweep. 18. A method of training a sound model for a vehicle comprising: selecting a first vehicle, wherein the first vehicle is associated with a vehicle type of a plurality of vehicle types; generating training data comprising a plurality of data samples, wherein generating each data sample comprises: selecting a seat of a plurality of vehicle seats of the first vehicle; placing a first mobile phone in the selected seat; playing a sound in the first vehicle by the first mobile phone; recording the sound played in the first vehicle by the first mobile phone; and generating the data sample from the recorded sound, wherein the data sample is associated with the selected seat; and training a sound model for the vehicle type associated with the first vehicle using the training data.
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