Grant Title
Dr. Dolittle Project: A Framework for Classification and Understanding of Animal Vocalizations
Document Type
Conference Proceeding
Publication Date
4-2009
Source Publication
IEEE International Conference on Acoustics, Speech and Signal Processing, 2009: ICASSP; Taipei, Taiwan, April 19-24, 2009
Source ISSN
1520-6149, 978-1-4244-2354-5, 978-1-4244-2353-8
Abstract
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.P
Recommended Citation
Ren, Yao and Johnson, Michael T., "Auditory Coding Based Speech Enhancement" (2009). Dr. Dolittle Project: A Framework for Classification and Understanding of Animal Vocalizations. 20.
https://epublications.marquette.edu/data_drdolittle/20
Document Rights and Citation of Original
Accepted version. Published as a part of the proceedings of the conference, IEEE International Conference on Acoustics, Speech and Signal Processing, 2009: ICASSP; Taipei, Taiwan, April 19-24, 2009, 4685 - 4688. DOI. © 2009 Institute of Electrical and Electronics Engineers (IEEE). Used with permission.