Evaluation of acoustic modality features for moving vehicle identification
Author:
Funder
University Grants Commission
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Link
https://link.springer.com/content/pdf/10.1007/s11045-022-00847-7.pdf
Reference29 articles.
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2. Averbuch, A., Zheludev, V. A., Rabin, N., & Schclar, A. (2009). Wavelet-based acoustic detection of moving vehicles. Multidimensional Systems and Signal Processing, 20(1), 55–80. https://doi.org/10.1007/s11045-008-0058-z
3. Balid, W., Tafish, H., & Refai, H. H. (2018). Intelligent vehicle counting and classification sensor for real-time traffic surveillance. IEEE Transactions on Intelligent Transportation Systems, 19(6), 1784–1794. https://doi.org/10.1109/TITS.2017.2741507
4. Bisio, I., Garibotto, C., Grattarola, A., Lavagetto, F., & Sciarrone, A. (2018). Smart and robust speaker recognition for context-aware in-vehicle applications. IEEE Transactions on Vehicular Technology, 67(9), 8808–8821. https://doi.org/10.1109/TVT.2018.2849577
5. Chu, S., Member, S., Narayanan, S., & Kuo, C. J. (2009). Time-frequency audio features. Language, 17(6), 1142–1158. https://doi.org/10.1109/TASL.2009.2017438
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