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Feature compensation and model compensation robustness methods are studied.
Table 7 shows the improvements in WER as a result of applying robustness methods.
The final performance of Nevisa in noisy environments is similar to the clean conditions, thanks to the various robustness methods implemented in the system.
The modified VAD is also used in spectral subtraction (SS) [3] and in PC-PMC [23, 31, 32] robustness methods to detect noise segments in the speech signal.
As adaptation techniques are used in our robustness methods, each task in this database includes two subsets identified as adaptation subset and test subset.
With the Aurora-2 database under the mode of "clean-condition training", we perform the MSE method and a series of robustness methods to compare the recognition accuracy.
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A new robustness method called PC-PMC was also proposed and incorporated in the system.
Similarly, to the robustness method of the previous section, stability conditions for the step-size μ k and boundedness conditions on additive noise can be derived now.
Figure 7 Overall word error rate averaged over all noise types and levels achieved by different noise-robustness methods.
The presented WS-HEQ II ( 1 ) with α=0.6 behaves better in the overall averaged word error rate when compared with several well-known noise-robustness methods: TSN, HOCMN, MVA, CHN, and S-HEQ.
In this paper, we propose a novel noise-robustness method known as weighted sub-band histogram equalization (WS-HEQ) to improve speech recognition accuracy in noise-corrupted environments.
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