Low Complexity Dereverberation Based on Weighted Prediction Error
In application scenarios such as audio and video conferences and human-computer interaction,the audio signals collected by the device are often disturbed by indoor reverberation,thereby reducing the clarity and intelligibility of speech.The adaptive dereverberation algorithm based on the weighted prediction error is the mainstream blind dereverberation algorithm at present.This algorithm can effective-ly remove the reverberation in real time,but it often has high computational complexity.In order to reduce the complexity of the algorithm,the relevant matrix operations in the original algorithm is simplified by dividing the diagonal matrix.The experiment proves that the algo-rithm designed reduces the computational cost of the original algorithm while ensuring the voice quality.
万方数据
维普
