Voice recognition method and system

Abstract

The invention discloses a voice recognition method. The method includes the steps that sound information is picked up from the environment; the picked sound information is analyzed, and a recognition index corresponding to an environment recognition rate is obtained according to the analysis result of the sound information; through the recognition index obtained through a noise analyzing module, the prompt information mapped by the recognition index is displayed, so that a user can execute corresponding operations according to the prompt information. The invention further discloses a voice recognition system. By the adoption of the method and system, a controlled device can display the environment noise situation recognized by the controlled device in time and prompt the user of the environment noise situation, so that the user can take corresponding measures conveniently according to the environment noise situation prompted by the controlled device, and thus the man-machine interactivity is improved.

Description

technical field [0001] The invention relates to speech recognition technology, in particular to a speech recognition method and system. Background technique [0002] With the development and progress of voice recognition technology, more and more devices (such as TVs, air conditioners and other household appliances) can perform corresponding functions through voice control; Detected voice control commands to perform corresponding operations. Speech recognition technology is easily affected by noisy human voices and other environmental noises, and the accuracy of speech recognition is directly related to the environmental noise. For example, when the environmental noise is small, the speech recognition rate is high, but when the environmental noise is large or When a group of people around speak loudly, the voice recognition effect will become very poor, and even the controlled device cannot recognize the corresponding voice commands. Considering the adaptability of the hum...

AI Technical Summary

Problems solved by technology

Speech recognition technology is easily affected by noisy human voices and other environmental noises, and the accuracy of speech recognition is directly related to the environmental noise. For example, when the environmental noise is small, the speech recognition rate is high, but when the environmental noise is large or When a group of people around speak loudly, the voice recognition effect will become very poor, and even the controlled device cannot recognize the corresponding voice commands

Considering the adaptability of the human ear, the human ear is not sensitive to environmental noise, and the human ear cannot accurately perceive the impact of environmental noise on speech recognition. Problems that cannot be identified or accurately identified by the controlled equipment affect the operation of the controlled equipment

Images