Abstract:
The present disclosure may provide an electronic device capable of audio recording. The electronic device may include a recording function unit configured to record an external sound to store it as an audio file, a conversion unit configured to convert a voice contained in the sound into a text based on a speech-to-text (STT) conversion, and a controller configured to detect a core keyword from the text, and set the detected core keyword to at least part of a file name for the audio file.
Abstract:
Provided are an intelligent voice output method, a voice output device and an intelligent computing device. An intelligent voice output method includes obtaining a voice from a plurality of voice output devices, selecting a device for a response to the voice, and controlling the response device based on recognition state information of the voice recognized by the response device so that the response device outputs the response. Accordingly, a response from a voice output device can be clearly delivered to a user. One or more of the voice output devices, intelligent computing devices, and servers of the present invention may include artificial intelligence modules, drones (Unmanned Aerial Vehicles, UAVs), robots, Augmented Reality (AR) devices, and virtual reality (VR) devices, devices related to 5G services, and the like.
Abstract:
Disclosed is a speech recognition method of an artificial intelligence robot. The speech recognition method includes: receiving uttered speech information of a user from an external device; inputting the speech information to a pre-learned first intent analysis model, and determining an utterance intent of the user according to an output value of the first intent analysis; transmitting response information corresponding to the determined utterance intent of the user to the external device; receive evaluation information of the user on the response information from the external device; and generating a second intent analysis model by adding the evaluation information to learning data and learning the first intent analysis model. Accordingly, an intelligent device is capable of learning an accurate utterance intent even without error correction by a manager.