Name
Abstract | ||
|---|---|---|
The traditional power spectral subtraction algorithm is computationally simple to implement but suffers from musical noise distortion. In addition, the subtractive rules are based on incorrect assumptions about the cross terms being zero. A new geometric approach to spectral subtraction is proposed in the present paper that addresses these shortcomings of the spectral subtraction algorithm. A method for estimating the cross terms involving the phase differences between the noisy (and clean) signals and noise is proposed. Analysis of the gain function of the proposed algorithm indicated that it possesses similar properties as the traditional MMSE algorithm. Objective evaluation of the proposed algorithm showed that it performed significantly better than the traditional spectral subtractive algorithm. Informal listening tests revealed that the proposed algorithm had no audible musical noise. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.specom.2008.01.003 | Speech Communication |
Keywords | Field | DocType |
traditional spectral subtractive algorithm,geometric approach,subtractive rule,gain function,audible musical noise,spectral subtraction algorithm,spectral subtraction,proposed algorithm,musical noise,musical noise distortion,traditional mmse algorithm,traditional power spectral subtraction,cross term,speech enhancement | Speech enhancement,Noise,Speech processing,Subtractive color,Pattern recognition,Computer science,Mean squared error,Group delay and phase delay,Speech recognition,Spectral density,Artificial intelligence,Distortion | Journal |
Volume | Issue | ISSN |
50 | 6 | 0167-6393 |
Citations | PageRank | References |
64 | 2.76 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Lu | 1 | 121 | 5.28 |
| Philipos C. Loizou | 2 | 991 | 71.00 |