Bibliographic Details
| Title: |
Denoising in the Domain of Spectrotemporal Modulations. |
| Authors: |
Mesgarani, Nima1, Shamma, Shihab1 |
| Source: |
EURASIP Journal on Audio Speech & Music Processing. 2007, Vol. 2007, Special section p1-8. 8p. 1 Diagram, 5 Graphs. |
| Subjects: |
Spectrograms, Computer sound processing, Wiener's model (Communication), Amplitude modulation detectors, Speech processing systems, Auditory pathways |
| Abstract: |
A noise suppression algorithm is proposed based on filtering the spectrotemporal modulations of noisy signals. The modulations are estimated from a multiscale representation of the signal spectrogram generated by a model of sound processing in the auditory system. A significant advantage of this method is its ability to suppress noise that has distinctive modulation patterns, despite being spectrally overlapping with the signal. The performance of the algorithm is evaluated using subjective and objective tests with contaminated speech signals and compared to traditional Wiener filtering method. The results demonstrate the efficacy of the spectrotemporal filtering approach in the conditions examined. [ABSTRACT FROM AUTHOR] |
|
Copyright of EURASIP Journal on Audio Speech & Music Processing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
