Method and system for improving pitch sensing ability of artificial cochlea

Abstract

The invention is suitable for the field of medical apparatuses and discloses a method and a system for improving pitch sensing ability of an artificial cochlea. The method for improving the pitch sensing ability of the artificial cochlea includes a base frequency (F0) processing process and a loudness regulating process, wherein the base frequency (F0) processing process includes that extracting a real-time base frequency (F0) from a gathered sound signal, substituting the extracted base frequency (F0) into a pre-generated 'F0-sound level mapping function S (F0)', calculating to obtain an S(F0) function value, substituting the S(F0) function value into a formula, and calculating to obtain a gain function value; the loudness regulating process includes that multiplying the gain function value with a signal to be regulated so as to regulate the loudness of a time domain sound signal. The method and system for improving the pitch sensing ability of the artificial cochlea are capable of improving the pitch sensing ability of an artificial cochlea user in the aspects of melody, pronunciation and intonation, Chinese tone and the like through processing the base frequency (F0) and using the base frequency for the loudness regulation when the pitch sensing ability of the user is low.

Description

Technical field [0001] The invention belongs to the field of medical devices, and in particular relates to a method and system for improving the pitch perception ability of a cochlear implant. Background technique [0002] Modern cochlear implants (Cochlear Implant, CI) use electric current to directly stimulate the auditory nerve to help people with severe hearing loss recover part of their hearing. The basic principle is to make up for the loss of sound-to-electrical conversion caused by the loss of inner hair cells in the cochlea of ​​these hearing loss people. The basic frame of the signal processing strategy adopted in modern CI systems is the Continuous Interleaved Sampling Strategy (CIS). In the CIS strategy, the signal collected by the microphone is first subjected to frequency-division filtering, and then the time-domain envelope of each band-pass filter output signal is extracted, and then the time-domain envelope is nonlinearly compressed, and then the compressed time ...

AI Technical Summary

Problems solved by technology

There are three obvious shortcomings in the existing technologies about using loudness adjustment to improve pitch perception, which have not been verified in the CI system so far: first, the method is not causal; second, in the method A linear weighting method is used for envelope adjustment, which leads to a small dynamic range of envelope adjustment; third, this method only shows the pitch change within a single note, while ignoring the pitch difference between two notes

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