| 摘要 |
A system and method for separating a mixture of audio signal into desired audio signals ( 430 ) (e.g., speech) and a noise sign ( 440 ) is disclosed. Microphones ( 310, 320 ) are positioned to receive the mixed audio signals, and an independent component analysis (ICA) processes ( 212 ) the sound mixture using stability constraints. The ICA process ( 508 ) uses predefined characteristics of the desired speech signal to identify and isolate a target sound signal ( 430 ). Filter coefficients are adapted with a learning rule and filter weight update dynamics are stabilized to assist convergence to a stable separated ICA signal result. The separated signals may be peripherally-processed to further reduce noise effects using post-processing ( 214 ) and pre-processing ( 220, 230 ) techniques and information. The proposed system is designed and easily adaptable for implementation on DSP units or CPUs in audio communication hardware environments.
|
