Voice-endpoint-detection based artificial cochlea automatic gain control method and system

Abstract

The invention discloses a voice-endpoint-detection based artificial cochlea automatic gain control method and a voice-endpoint-detection based artificial cochlea automatic gain control system. The method comprises the following steps: amplifying an acquired acoustical signal; converting the amplified acoustical signal into a digital signal; calculating the short-term energy of the digital signal, and calculating the background noise value according to the short-term energy; reading the current gain value, if the gain value is a default gain, then setting a high threshold for the short-term energy of voice, comparing the input short-term energy with the high threshold of the short-term energy of the voice, and finding out the beginning of gain value regulation, but if the gain value is a default gain in a noisy environment, setting a low threshold for the short-term energy of the voice, comparing the input short-term energy with the low threshold of the short-term energy of the voice, and finding out a voice gap; conducting frequency division processing on the converted digital signal and combining the signal into N channels; and conducting acoustic-electric stimulation compression and outputting. According to the voice-endpoint-detection based artificial cochlea automatic gain control method, the hearing of a user using an artificial cochlea is enhanced, and the effect of speech recognition of the user with the implanted artificial cochlea is improved when the input of the sound intensity fluctuates greatly.

Description

technical field [0001] The invention relates to the technical field of cochlear implants, in particular to a cochlear implant automatic gain control method and system based on speech endpoint detection. Background technique [0002] Hair cells in the human cochlea are sensory cells that receive sound. Severe hearing loss occurs when cochlear hair cell damage is severe. A cochlear electron is an electronic device that replaces damaged hair cells and regains sound signals through electrical stimulation of the auditory nerve. figure 1 Shown is a schematic diagram of the structure of the cochlear implant. The cochlear electron is composed of two parts: external machine parts and implant parts. The external machine parts mainly include microphones (such as microphones, etc.), speech processors and transmitting coils. The implant parts mainly include receiving coils, stimulators and multi-channel electrode arrays. composition. [0003] When the system is connected normally, th...

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Problems solved by technology

[0006] However, in a complex listening environment, or when the cochlear implanter speaks loudly by himself, the traditional automatic gain system may be frequently activated and restored, which will cause the cochlear implanter to feel that the sound is loud when listening Small

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