Hearing-aid multichannel voice enhancing algorithm based on iterative Wiener filtering

Abstract

The invention discloses a hearing-aid multichannel voice enhancing algorithm based on iterative Wiener filtering. The algorithm has the following steps of dividing a noisy signal into a plurality of frames; performing noise estimation on each frame of noisy signal; calculating a posterior signal-to-noise ratio; estimating a prior signal-to-noise ratio by using the posterior signal-to-noise ratio;calculating the noise reduction attenuation gain required for noise reduction according to the posterior signal-to-noise ratio; acting the noise reduction attenuation gain onto the noisy signal so asto obtain an enhanced voice signal; using the obtained enhanced voice signal as given enhanced voice; continuously and repeatedly performing the front steps on the next frame of voice signals. The voice enhancing algorithm provided by the invention has the advantages that the algorithm complexity is low; the noise reduction effect is good; the hearing ability compensation is ensured; meanwhile, the voice recognition ability of a hearing-aid wearer can be improved.

Description

technical field [0001] The invention relates to the field of hearing aid speech enhancement algorithm design, in particular to a hearing aid multi-channel speech enhancement algorithm based on iterative Wiener filtering. Background technique [0002] In the long history of hearing aid development, in order to improve speech understanding and listening comfort, various noise reduction technologies developed can be roughly classified into two categories: directional sound transmission and speech enhancement algorithms. The former is designed based on the spatial difference of speech and noise, using directional microphones or multi-microphone array beamforming technology to enhance the speech signal in a specific direction; the latter is designed to use speech and noise in time and frequency spectrum The difference of the speech is separated from the noisy signal and the background noise is attenuated to achieve the purpose of enhancing the speech. [0003] At present, the co...

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Problems solved by technology

[0004] However, if the traditional voice enhancement algorithm based on Wiener filtering is to be directly applied to hearing aids, there are still many limitations, such as, (1), the hearing aid itself is small in size and low in power consumption, so the calculation speed of the processor chip is compared with The general-purpose processor chip is much slower; (2) the application environment of hearing aids has very high requirements for delay, usually no more than 10ms; (3) hearing aids generally need to use multi-channel frequency division amplification and compression processing, the original algorithm The architecture also has high compatibility requirements for noise reduction algorithms

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