Name
Abstract | ||
|---|---|---|
Typically, speech enhancement algorithms minimize a suitable error criterion in the spectral or time domain. Although the error criterions have included perceptual properties such as masking thresholds, non-uniform frequency resolution and sensitivity of the auditory system, these are only done heuristically and the error criterion does not explicitly include an auditory model in their formulation. In this paper, we propose an auditory-domain based speech enhancement algorithm that minimizes the distortion between the auditory representation of the estimated and desired signal. Simulation results indicate that the proposed algorithm performs effectively under different noise conditions and also results in a lower average loudness error. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5495147 | ICASSP |
Keywords | Field | DocType |
acoustic noise,acoustic signal processing,error analysis,loudness,speech enhancement,speech intelligibility,auditory model,auditory system sensitivity,auditory-domain,error criterion,loudness error,masking thresholds,noise,nonuniform frequency resolution,spectral domain,speech enhancement algorithms,time domain,auditory representation,loudness,psychoacoustics,speech enhancement | Speech enhancement,Noise,Loudness,Noise measurement,Computer science,Signal-to-noise ratio,Auditory system,Speech recognition,Distortion,Intelligibility (communication) | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harish Krishnamoorthi | 1 | 13 | 2.46 |
| Andreas S. Spanias | 2 | 528 | 87.90 |
| Visar Berisha | 3 | 76 | 22.38 |
| Homin Kwon | 4 | 49 | 5.79 |
| Harvey D. Thornburg | 5 | 44 | 5.12 |