Automatic environmental identification method used for hearing aid

Abstract

The invention relates to an automatic environmental identification method used for a hearing aid. According to the invention, a signal accessed by a microphone of a hearing aid is sampled according to a preset sampling frequency so as to form continuous multiframe data; and then after each frame of a multiframe signal passes through a Hamming window of a preset point, DFT is carried out on the processed multiframe data; processing including a triangle overlapping window and a triangle MEL weighted filter set of a preset class number is carried out on an energy spectrum of data that has been processed by DFT so as to obtain a preset number of MEL frequency spectrum points; processes of taking a logarithm and inverse discrete cosine transformation are carried out on the preset number of MEL frequency spectrum points so as to obtain a hidden Markov model (HMM) coefficient; at last, a highest probability of a single path is recorded through a Viterbi algorithm by taking the obtained HMM coefficient as a characteristic and employing an HMM containing an initial state and an end state and three radiating states, so that an optimum state sequence is found and thus an environment which the signal accessed by the microphone are from is determined.

Description

technical field [0001] The invention relates to an environment recognition method, in particular to an automatic environment recognition method for hearing aids. Background technique [0002] Compared with analog hearing aids, digital hearing aids are widely favored by hearing-impaired people because they can complete complex and flexible adjustments. Considering that the user may be in different scenarios, such as a quiet environment, a noisy street, or a concert scene, etc., the existing developers of various digital hearing aids have designed the optimal parameters in the corresponding scenarios for different environments, using Users can manually select different parameters according to different scenarios to obtain better hearing effects. Usually, digital hearing aids are powered by small button batteries, so the built-in digital processor has a main frequency of about 2MHz and needs to complete functions such as signal analysis and synthesis, noise suppression, feedba...

AI Technical Summary

Problems solved by technology

Usually, digital hearing aids are powered by small button batteries, so the built-in digital processor has a main frequency of about 2MHz and needs to complete functions such as signal analysis and synthesis, noise suppression, feedback suppression, and dynamic compression. Very limited processing power

[0003] For hearing aid users who already have hearing impairment, it is often difficult for them to distinguish different scenes. Therefore, how to increase the automatic recognition function of the environment on the basis of the existing digital processor of hearing aids with limited processing capacity is already a reality. It is a technical problem to be solved urgently for those skilled in the art

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