Artificial cochlea voice processing method and system

A cochlear implant and speech processing technology, applied in speech analysis, electrotherapy, instruments, etc., can solve problems such as poor pitch perception, unpleasantness, and harmful noise

Active Publication Date: 2020-10-13
南京生物医药谷建设发展有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are some serious problems: First, the maximum number of electrodes that can be accommodated is limited, about 25, but in order to avoid crosstalk, the number of electrodes that can be activated at the same time is only 6
[0021] (1) Generally speaking, implanters can understand speech well with some training, but pitch perception is usually poor, and auditory training may help;
[0022] (2) On average, implanters listened to music at a rhythm that was similar to that of normal people, but the melody recognition ability was poor, and for many implanters, performance was no better than random;
[0023] (3) The perception of timbre is usually unsatisfactory. Compared with normal hearing subjects, implanters tend to evaluate music near harsh sounds as unpleasant music;
Therefore, its superimposed sum will result in unwanted noise

Method used

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  • Artificial cochlea voice processing method and system
  • Artificial cochlea voice processing method and system
  • Artificial cochlea voice processing method and system

Examples

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Embodiment 1

[0067] Please refer to figure 1 as shown, figure 1 It is a detailed implementation of the cochlear implant speech processing method of the present invention. In step 100, the sound signal is digitized. During the sound digitization process, the sampling frequency can be selected as required. In order to obtain higher fidelity, high-frequency sampling frequency can be sampled, 22KHz or 44KHz (22KHz and 44KHz belong to the sampling frequency used by current mainstream acquisition cards). Because some noise may appear in the sound, the noise needs to be suppressed or removed. In step 110, noise suppression is performed. When performing noise suppression, adaptive filters can be used, and artificial intelligence methods such as RNN, DNN, MLP and other methods can also be used. In addition, the "cocktail party problem" is also an important problem in the field of speech recognition. The current speech recognition technology can already recognize a person's speech with high pre...

Embodiment 2

[0081] Furthermore, in order to save time, any method similar or equivalent to EMD can be used instead of EMD, such as repeatedly applying the mean or median method with different window sizes running continuously as needed, as a high-pass filter for filtering the input signal or Additional temporal filtering. For example, in a running averaging method, there is no guarantee that the resulting signal is a true IMF, which is a requirement to produce an accurate and meaningful instantaneous frequency. But since we're not using spectral analysis, approximations are acceptable. Using the mean of consecutive runs as an example, the steps should be as follows. First decompose the data by successive runs of the mean:

[0082] (3)

[0083] in, nj Indicates that the window size is nj The running mean (or running median, repeated if necessary) of . The advantage of using a rectangular filter is that the filter is adaptive and the response function of the rectangular filter i...

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Abstract

The invention discloses an artificial cochlea voice processing method and system. The method comprises the following steps: acquiring a sound signal, converting the sound signal into a digital signal,decomposing the digital signal by adopting a modal decomposition method to obtain a plurality of intrinsic mode function components, converting the plurality of intrinsic mode functions into instantaneous frequency and instantaneous amplitude, classifying the instantaneous frequencies to enable the instantaneous frequencies to correspond to preset electrode frequency bands in the artificial cochlea, selecting n electrode frequency band components with the highest energy from the corresponding electrode frequency bands, and generating corresponding electrode stimulation signals according to the selected electrode frequency band components. On the basis of Hilbert-Huang transform, the sound is analyzed in the time domain, limitation of the uncertainty principle is avoided, and noise generated by harmonic waves does not exist.

Description

technical field [0001] The invention relates to the field of cochlear implants, in particular to a cochlear implant voice processing method and system. Background technique [0002] Unlike hearing aids, which selectively amplify sound, cochlear implants must transmit sound signals directly to the afferent auditory nerve of the ear and then to the primary auditory cortex to produce sound. Thus, cochlear implants directly generate the perception of sound to the primary auditory cortex. In this sense, a cochlear implant is a therapeutic, not just a prosthetic, treatment for severe hearing loss or even complete deafness due to damage or defect of the middle and inner ear. It bypasses the damaged part of the ear and sends the processed signal directly to the auditory nerve. Current cochlear implants are based on the wrong assumption that cochlear implants are based on biological Fourier analysis or on Fourier filter banks. In order to overcome the deficiencies of current cochl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/48G10L25/51G10L21/0208A61N1/05
CPCG10L25/48G10L25/51G10L21/0208A61N1/0541G10L2021/02087G10L21/16A61N1/36038
Inventor 黄锷叶家荣
Owner 南京生物医药谷建设发展有限公司
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