A Codec Method for Sound Source Separation

Abstract

The invention discloses a coding and decoding method for sound source separation. The sound source separation of a audio signal can be realized under the condition with or without reference information by extracting the distribution parameters of the actual signal and combining a psychological acoustics model, so that the tone quality of a sound source after being separated is improved, and a wide bandwidth condition can be suited; and therefore, the practicability of a sound source separation system is improved.

Description

technical field [0001] The invention relates to the field of multimedia, in particular to a sound source separation technical solution, which separates independent sound sources from monophonic, stereophonic or multi-channel audio signals. Background technique [0002] Audio signals, especially music signals, usually contain multiple sound sources, such as human voice, various accompaniment instrument sounds, and ambient sound. How to effectively extract each independent sound source from the mixed audio signal is an important theoretical problem, and it is also an important application problem. In karaoke, the vocal part needs to be partially or completely eliminated; in mobile calls, the ambient noise needs to be eliminated as much as possible to improve the call quality; in Active Listening of Music, the sound of each instrument needs to be different Gain and phase adjustments to synthesize the spatial sound field expected by the user. In the above applications, sound s...

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Problems solved by technology

[0007] However, the sound source separation technology based on signal sparsity, as mentioned above, is not based on the specific probability distribution of the signal to be separated, but generally assumes that it is a Laplace distribution, or directly assumes that some sound sources at each time-frequency point The source must be 0. This mismatch between the assumption and the actual situation reduces the performance of sound source separation; on the other hand, the blind sound source separation technology is subject to the constraint of not being able to use reference information, and the sound quality of the separated sound source is greatly limited. ; and the sound source separation technology with reference information cannot work when the reference information exceeds the channel bandwidth

These problems limit the application of the sound source separation system in practical situations

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