Cochlear implantation sound scene identification system and method

Abstract

The present invention discloses a cochlear implantation sound scene identification system and method. The system comprises a foreground and background classifier, a foreground feature extraction module, a foreground identification network, a background feature extraction module, a background identification network, a comprehensive scene determination module and a program selector, and the foreground and background classifier performs classification of foreground and background sound for sound signals of an input system and then outputs the processed sound signals; after classification of the foreground and background classifier, if the sound signals are foreground sound, the sound signals are input to the foreground feature extraction module, and after extraction of sound features, a foreground feature array is output to the foreground identification network; if the sound signals are background sound, the sound signals are input to the background feature extraction module, and after extraction of sound features, a background feature array is output to the background identification network; through comprehensive analysis, the concrete classification of the current scene is output; and an output program is selected. Compared to a traditional scene identification system, the cochlear implantation sound scene identification system and method can identify more sound scenes.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to a cochlear implant sound scene recognition system and method. Background technique [0002] A cochlear implant is an artificial device that can restore hearing to people who are severely or profoundly deaf. It consists of a signal processing unit worn outside the body and an implant implanted inside the body. Among them, the microphone on the external signal processing unit is responsible for collecting the sound signals in the environment, and then processed and encoded by the signal processor (DSP, digital signal processor), and then sends the encoded signals to the implanted body in the body through radio frequency. body, and the corresponding electrical pulse signals are generated in the electrode array to stimulate the auditory nerve, and ultimately help the implanter restore hearing. [0003] In different life scenarios, the DSP of the cochlear implant needs to enable dif...

AI Technical Summary

Problems solved by technology

[0005] The disadvantage of this classification is that some specific scenes are not divided finely enough

Another example is the sudden appearance of alarm sounds (such as car horns, alarm bells, etc.), and the system's response is often not fast enough (because these sounds do not belong to any type of typical sound scene)

Another example is when a voice signal appears, if it is whispering or speaking loudly, the procedures used should also be different, and these differences cannot be distinguished by the current sound scene recognition system

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