We have 3 of 11 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Overall, this study suggests that robust accent classification evaluation should simultaneously include speaker-disjoint evaluation and cross-corpus testing.
Results show that frequency axis dilation is effective for low-parameter, noise-robust pitch estimation, and the proposed Frequency Convolution Network is also competitive with recent pitch estimation systems while using far fewer parameters.
The Frequency Convolution Network (FrCN) of earlier work is factored into a low-rank form, and the semi-orthogonal constraint used in TDNN-F is found to be redundant with the normalization inside the bottleneck, and accuracy is reduced when both are applied.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
