METHOD AND APPARATUS FOR ADAPTING A WAKE-UP MODEL

Embodiments of the present disclosure disclose a method and apparatus for outputting information, which can be used in an intelligent traffic scene. An embodiment of the method includes acquiring voice information received within a preset time period before a device is awakened, where the device is provided with a wake-up model for outputting preset response information when a preset wake-up word is received; performing speech recognition on the voice information to obtain a recognition result; extracting feature information of the voice information in response to determining that the recognition result does not include a preset wake-up word; generating a counterexample training sample according to the feature information; and training the wake-up model using a counter-example training sample, and outputting the trained wake-up model. In this embodiment, the voice information during false wakeup can be used as an example to train a wake-up model, no additional corpus recording is required, cost is saved, false wake-up can be automatically suppressed, and accuracy of wakeup is improved.