Voice recognition system

Abstract

The invention relates to the technical field of voice recognition, and discloses a voice recognition system, and the system is provided with an end point detection: analysis of inputted voice, sign language and lip language is carried out, so as to determine that the voice or action comprises the starting and ending processes of the speaking of a user; noise elimination: external noise except voice is removed, noise generated due to factors of a microphone is also included, and the system needs to be subjected to tests of various kinds of noise; and feature extraction: the voice with noise being removed is extracted, or the characteristics of the body movement of the sign language or the mouth-shaped movement of the lip language are extracted. According to the invention, the special sign language action and lip language action endpoint detection equipment is arranged, so that people with speech disorder can perform character communication with people by using lip language or sign language actions, the function of the system is more powerful, good news is brought to people with speech disorder, and people can freely communicate with people.

Description

Technical field [0001] The invention relates to the technical field of speech recognition, in particular to a speech recognition system. Background technique [0002] Speech recognition technology, also known as automatic speech recognition, its purpose is to convert the vocabulary content in human speech into computer-readable input. Speech recognition technology involves signal processing, pattern recognition, probability theory and information theory, sound mechanism and auditory mechanism As the key technology of human-computer interaction, voice recognition technology has been widely used in application systems such as call centers, telecommunications value-added, enterprise information systems, intelligent robots, intelligent outbound calls, and intelligent vehicles. [0003] The current speech recognition only recognizes the voice of people’s speech and converts the content of people’s speech into text. However, these are only designed for people with language barriers. For ...

AI Technical Summary

Problems solved by technology

[0003] The current speech recognition only recognizes people's voices and converts the content of people's speech into text. However, these are only designed for some people with language barriers. When normal people communicate, it is impossible for some people who do not understand dumb language to communicate, so that people with speech impairment can only communicate with people who can speak dumb language, making them stay in their own personal closed environment for a long time, easy to cause mental illness

[0004] The current speech recognition system is easily affected by environmental noise other than speech during use. Some speech recognition systems will be hindered when performing endpoint detection, which will lead to recognition errors.

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