Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Uniform and warped low delay filter-banks for speech enhancement
Speech Communication
Lapped unimodular transforms: lifting factorization and structural regularity
IEEE Transactions on Signal Processing
Evaluation of Objective Quality Measures for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
| Hi-index | 0.00 |
In this paper one-regular Unimodular filterbank (UMFB) is used for subband based noise reduction in speech signals. The regularity property of the filterbank enables a better estimate of the noise characteristics at low frequencies. This results in effective reduction of noise when compared with conventional filterbanks. Unimodular filterbanks have the lowest possible system delay of M -1 samples, where M is the number of channels. Hence, we show that effective noise reduction in speech signals can be obtained, with UMFB, at a very low system delay. The implementation of UMFB is done with simple structures having low computational complexity. The results are validated with suitable experiments.