A GPGPU accelerated audio mixing algorithm for multi-party collaboration namely GAM is introduced.

In video conference,audio processing is basic and requires the highest real-time criterion,and audio mixing is an important function of audio processing,it′s also a difficulty which is unsolved satisfactorily in many video conference systems presently,moreover,much stress is laid on audio mixing and audio mixing scheme is neglected illogically.

This paper categorizes and analyzes the schemes, and a new multi-point speech audio mixing scheme using align-to-self weighted algorithm is provided to meet the demand of the practical need of multi-point speech processing.

Wavelet transform is very effective for picking up the pitch detection from a single source,but there is no effective way to obtain the pitch information from the pitch detection in overlapping speech with multi-sources.

This paper puts up a method suitable for multi pitch detecting under overlapping speech signals environment.

From the ideas of computational auditory scene analysis, this paper studies how to pick out the independent pitches and harmonics of each source from the overlapping speech signals.

A new filtering algorithm is proposed based on local statistical characteristics in this paper, and it is called Linear Local Mixed Filter(LLMF) which is suitable for digital images corrupted with mixed noises(impulse noise and Gaussian noise).

A novel filter called Linear Mixed Filter(LMF) is proposed in this paper,which is suitable for digital images corrupted with mixed noises(impulse noise and Gaussian noise).

In application, there are two kindsof noise models mainly represent most noises which added to images: Gaussian noiseand impulse noise, of cause, their mixed noises are inevitably.