Intelligent hearing aid method and system

Abstract

The present invention discloses an intelligent hearing aid method and system, and relates to the technical field of computers. One embodiment of the method comprises the steps of: obtaining collectedvoice data, and employing frequency domain to eliminate echo; according to the eliminated echo voice data, extracting the noise data to perform noise classification learning to obtain a noise classification result; and according to the noise classification result, performing noise inhibition processing for the eliminated echo voice data to obtain the voice data after noise reduction and play the voice data after noise reduction. The problems are solved that the hearing aids are poor in use experience and high in cost in the prior art.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an intelligent hearing aid method and system thereof. Background technique [0002] Traditional hearing aids are tiny wearable devices that people usually wear in their ears to help improve their hearing. The traditional definition of hearing aids mainly includes components such as microphone (microphone, transliterated as microphone), amplifier (amplifier), receiver (receiver, earphone), battery, various volume, tone control knobs and other electroacoustic devices. Among them, the amplifier (amplifier) ​​is the core part, which is used to process the sound signal, including acoustic algorithm functions such as noise reduction, echo suppression, and dynamic gain. Traditional noise-canceling earphones are similar to hearing aids. They isolate the human ear from the noise environment through physical noise reduction, such as outsourced earphones or in-ear earphones. Through algo...

AI Technical Summary

Problems solved by technology

[0004] First of all, the algorithm part of traditional hearing aids is implemented using DSP microchips, but due to the limitation of volume and weight, its power is limited. , the noise is also amplified, which is one of the main reasons why patients generally do not adapt to hearing aids

Moreover, the closed mode adopted by traditional hearing aids, the noise reduction algorithm is universal and cannot be adjusted for different noise environments, so the algorithm is not targeted, the complexity is high, and the effect is limited

[0005] Secondly, traditional hearing aids use fixed programs, which cannot be developed for various scenarios. For example, indoor patients need to hear voices clearly, and there is no requirement for high-frequency music, while outdoors, for safety, various natural sounds such as car horns are necessary. Require

[0006] Furthermore, traditional hearing aids use both ears to process separately, and the delay and phase changes of the processing destroy the positioning and balance of the sound.

[0007] In addition, because the patient's hearing changes dynamically, the patient needs to go to the hospital to adjust the configuration of the hearing aid at intervals. The complexity of the process also prevents the patient from frequently adjusting the device according to their own changes. Currently, new devices have appeared to support The mobile phone fitting process, but the error of the mobile phone audiometry is relatively large, and the process is also very complicated

Also, limited by size and weight, processing DSP requires tight control over power consumption, which drives up system cost

At the same time, the DSP system solidifies the hearing processing algorithm software on the hardware and cannot be upgraded

When the product is upgraded, the original hearing aid is discarded, and the user has to buy a new hearing aid, which brings an increase in the cost of the customer

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