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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jingyu Wang Ke Zhang Madani, K. Sabourin, C. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Astronaut., Northwestern Polytech. Univ., Xi'an, China (Jingyu Wang; Ke Zhang; Madani, K.; Sabourin, C.) |
| Abstract | Environment perception is an important research issue for both unmanned ground vehicles and robots. To improve the capacity of perception, a visualized acoustic saliency feature extraction (VASFE) method based on both the short-time Fourier transform (STFT) and the Mel-Frequency Cepstrum Coefficient (MFCC) for environment sound signal processing is proposed in this paper. Sound signal is visualized by using the STFT algorithm as local image feature and the Mel-Frequency Cepstrum Coefficient (MFCC) is used to represent the local acoustic feature of the signal. The proposed VASFE method is tested by the natural sound data which collected from real world of both indoor and outdoor environment. The results show that this method is able to extract the saliency features of both long-term and short-term sound signal successfully and clearly, and conducts to very distinguishable features for future processing of environment sound information. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 960444 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479928255 |
| ISSN | 21593450 |
| e-ISBN | 9781479928279 |
| DOI | 10.1109/TENCON.2013.6718918 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feature extraction Signal processing algorithms Spectrogram Mel frequency cepstral coefficient Equations Visualization MFCC environment perception natural sound visualized acoustic saliency STFT algorithm spectrogram |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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