Dual-microphone speech enhancement method and system applicable to mini-type mobile communication devices

Abstract

This invention provides one double microwave sound strength method and device suitable for small mobile communication device to process the input signal x1 and x2 and to adopt wave beam forming technique and use aim sound signal source and noise signal source difference to isolate signals to get the sound signal S(k) and noise signal n(k); using two paths of signals relationship to remove noise part and sound point to get síõ(k) and níõ(k).

Description

technical field [0001] The invention relates to a small mobile communication device (such as a mobile phone, a PDA, etc.), in particular to a voice enhancement technology for a small mobile communication device. Background technique [0002] In recent years, mobile communication technology has been rapidly developed and popularized, and "transmitting information anytime, anywhere" is about to become a reality. At the same time, with the development of industrial society and the growth of population, the impact of environmental noise on the quality of mobile communication is becoming increasingly prominent: when using mobile phones in places such as stations, commercial centers, airports, construction sites, restaurants and dance halls, the environmental noise will be accompanied by voice Therefore, in order to make the other party hear his own voice more clearly, the speaker needs to raise the volume as much as possible, so that both parties are likely to feel irritable and ...

AI Technical Summary

Problems solved by technology

But its main disadvantages are: while reducing the strength of noise components, it also damages the clarity and naturalness of speech, especially when the signal-to-noise ratio of the input signal is low; if the noise has similar characteristics to speech ( Such as background vocals and background music), there is basically no denoising effect; when the signal-to-noise ratio is particularly low (such as lower than 0dB), there is no denoising effect

[0007] The main disadvantage of the above method is: when the signal-to-noise ratio of the signal is low, the accuracy of the VAD module is generally poor, and the output x of the adaptive filter cannot be guaranteed 2 ′(k) is mainly speech signal

And since the delayed signal x 1 '(k)'s SNR is not improved, so it is the same as the adaptive filter output x 2 ′(k), the signal-to-noise ratio of the output signal s(k) is lower

In addition, this method is too simple to achieve good denoising effect, and basically has no echo suppression effect

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