Auditory coding based speech enhancement
- Resource Type
- Conference
- Authors
- Ren, Yao; Johnson, Michael T.
- Source
- 2009 IEEE International Conference on Acoustics, Speech and Signal Processing Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. :4685-4688 Apr, 2009
- Subject
- Signal Processing and Analysis
Components, Circuits, Devices and Systems
Speech enhancement
Fourier transforms
Kernel
Speech coding
Continuous wavelet transforms
Discrete wavelet transforms
Frequency
Filters
Signal processing
Wavelet transforms
auditory coding
wavelet transforms
minimum mean square error methods
- Language
- ISSN
- 1520-6149
2379-190X
This paper demonstrates a speech enhancement system based on an efficient auditory coding approach, coding of time-relative structure using spikes. The spike coding method can more compactly represent the non-stationary characteristics of speech signals than the Fourier transform or wavelet transform. Enhancement is accomplished through the use of MMSE thresholding on the spike code. Experimental results show that compared with the spectral domain logSTSA filter, both the subjective spectrogram evaluation and objective SSNR improvement for the proposed approach is better in suppressing noise in high noise situations, with fewer musical artifacts.