In-vehicle voice command recognition method and apparatus, and storage medium
First Claim
1. An in-vehicle voice command recognition method, comprising:
- acquiring a voice command inputted by a user;
determining basic information of the user according to a pre-trained deep neural network (DNN) model;
identifying contents of the voice command according to the basic information of the user, and determining at least one potential user intention according to the identified contents and a scenario page context of a page when the user inputs the voice command;
determining a confidence level of the potential user intention according to the DNN model;
determining a real user intention from the potential user intention according to the confidence level; and
executing a corresponding action according to the real user intention.
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Abstract
An in-vehicle voice command recognition method and apparatus, and a storage medium. The method includes: acquiring a voice command inputted by a user; determining basic information of the user according to a pre-trained deep neural network (DNN) model; identifying contents of the voice command according to the basic information of the user, and determining at least one potential user intention according to the identified contents and a scenario page context at the time when the user inputs the voice command; determining a confidence level of the potential user intention according to the DNN model; determining a real user intention from the potential user intention according to the confidence level; and executing a corresponding action according to the real user intention. The embodiments of the present disclosure can effectively improve the correct recognition rate of voice commands.
12 Citations
13 Claims
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1. An in-vehicle voice command recognition method, comprising:
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acquiring a voice command inputted by a user; determining basic information of the user according to a pre-trained deep neural network (DNN) model; identifying contents of the voice command according to the basic information of the user, and determining at least one potential user intention according to the identified contents and a scenario page context of a page when the user inputs the voice command; determining a confidence level of the potential user intention according to the DNN model; determining a real user intention from the potential user intention according to the confidence level; and executing a corresponding action according to the real user intention. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An in-vehicle voice command recognition apparatus, comprising:
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at least one processor; and a memory storing instructions, the instructions when executed by the at least one processor, cause the at least one processor to perform operations, the operations comprising; acquiring a voice command inputted by a user; determining basic information of the user according to a pre-trained deep neural network (DNN) model; identifying contents of the voice command according to the basic information of the user, and determining at least one potential user intention according to the identified contents and a scenario page context at the time when the user inputs the voice command; determining a confidence level of the potential user intention according to the DNN model; determining a real user intention from the potential user intention according to the confidence level; and executing a corresponding action according to the real user intention. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A storage medium comprising computer executable instructions, the computer executable instructions being configured to execute an in-vehicle voice command recognition method when executed by a computer processor, the method comprising:
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acquiring a voice command inputted by a user; determining basic information of the user according to a pre-trained deep neural network (DNN) model; identifying contents of the voice command according to the basic information of the user, and determining at least one potential user intention according to the identified contents and a scenario page context when the user inputs the voice command; determining a confidence level of the potential user intention according to the DNN model; determining a real user intention from the potential user intention according to the confidence level; and executing a corresponding action according to the real user intention.
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Specification