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These “over-sensitive” frameworks can cause critical errors far from the actual age. We propose an age-dependent insensitive loss for speaker age estimation. The key idea of the proposed method is that the age estimator should allow some ambiguity of actual age and this ambiguity should depend on age.
This paper proposes a new speaker age estimation method that uses an age-dependent insensitive loss ... Speaker Age Estimation Using Age-Dependent Insensitive ...
Sep 22, 2023 · Share sensitive information only on official, secure websites. PMC ... Influence of Age on Speech Recognition in Noise and Hearing Effort in ...
normalization (CVTLN) [6] and is not sensitive to content. Although frequency warping using Sg1, Sg2 and formants gives good performance for children's ...
Nov 16, 2022 · “Speaker age estimation using age-dependent insensitive loss,” in 2020 Asia-Pacific Signal and Information Pro- cessing Association Annual ...
Share sensitive information only on official, secure websites. PMC home page ... Also, as in Experiment 1, an analysis with estimation error in percent of ...
Missing: Loss. | Show results with:Loss.
Nov 6, 2023 · RMSE or MAE is one of the most used metrics for calculating the mean error between predicted and real values. The RMSE is more sensitive to ...
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Recently, age dependent insensitive loss has been used to estimate speaker age and short duration speech data has been employed for speaker profiling [15-16].
Oct 22, 2024 · ... Using Vapnik's -insensitive loss function the model181. training—estimation of wand z—is formulated as to minimize182. 1. 2kwk2+λ. N. X. n=1. ( ...
Missing: Dependent | Show results with:Dependent
It is seen in Figure 3, we expect the value of the x-axis fall in the green area, the active area, by modifying alpha and beta, which is more sensitive to ...