Abstract

In real-world wideband noisy recordings of speech, the Signal-to-Noise ratios in the lower half spectra are typically higher than those observed in their upper half counterparts, due to the average frequency distribution of the speech energy. Speech enhancement algorithms therefore struggle to recover damaged high frequency components, thereby penalizing the output perceived quality of the enhanced signal. In this paper, it is proposed to use and adapt the concept of Bandwidth Extension in the context of speech enhancement so as to reinforce the high-frequency estimates of the clean speech. By allowing enhancement schemes to focus their resources on narrowband speech while synthesizing the rest of the signal, it is found that the overall quality can be improved, while reducing significantly the computational costs of the obtained method.

Keywords:
Bandwidth extension Narrowband Wideband audio Bandwidth (computing) Computer science Speech enhancement Speech recognition Wideband Intelligibility (philosophy) Voice activity detection Speech processing Speech coding Noise reduction Electronic engineering Telecommunications Artificial intelligence Audio signal Engineering Digital audio

Metrics

9
Cited By
0.33
FWCI (Field Weighted Citation Impact)
13
Refs
0.54
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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