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Titlebook: DSP for In-Vehicle and Mobile Systems; Hüseyin Abut,John H.L. Hansen,Kazuya Takeda Book 2005 Springer-Verlag US 2005 Antriebsschlupfregelu

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21#
發(fā)表于 2025-3-25 06:33:30 | 只看該作者
22#
發(fā)表于 2025-3-25 10:56:15 | 只看該作者
https://doi.org/10.1007/978-3-030-81234-8user’s speech signal gets corrupted due to dynamically changing acoustic environment and the number of interference signals inside the car. The interference signals get mixed with speech signals convolutively due to the chamber impulse response. This tends to degrade the performance of a speech reco
23#
發(fā)表于 2025-3-25 14:55:25 | 只看該作者
24#
發(fā)表于 2025-3-25 18:54:30 | 只看該作者
Book 2005communications for in-vehicle environments. It is expected that the next generation of human-to-vehicle interfaces will incorporate speech, video/image, and wireless communication modalities to provide more comfortable and safer driving ambiance. It is also expected that vehicles will become "smarte
25#
發(fā)表于 2025-3-25 23:54:17 | 只看該作者
Hans-Hermann Kritzinger,Friedrich Stuhlmann of original speech in terms of SNR. The proposed algorithm has been tested and compared with a traditional SVD algorithm for different noise types and levels. Simulation results show that it achieves higher SNR improvements for both additive white noise and colored noise as compared to a traditional SVD algorithm.
26#
發(fā)表于 2025-3-26 01:21:49 | 只看該作者
27#
發(fā)表于 2025-3-26 06:36:09 | 只看該作者
28#
發(fā)表于 2025-3-26 12:03:19 | 只看該作者
Delphine Letort,Abderrahmene Bourenanepedals differently. Are they distinctly unique to be used an independent biometric to identify the individual? Even though our findings at this time are not conclusive, additional features, time-series analysis of the collected data and/or integration these features with audio and video inputs are being investigated.
29#
發(fā)表于 2025-3-26 13:00:46 | 只看該作者
Speech Enhancement Based on F-Norm Constrained Truncated SVD Algorithm, of original speech in terms of SNR. The proposed algorithm has been tested and compared with a traditional SVD algorithm for different noise types and levels. Simulation results show that it achieves higher SNR improvements for both additive white noise and colored noise as compared to a traditional SVD algorithm.
30#
發(fā)表于 2025-3-26 17:43:23 | 只看該作者
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