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
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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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