1 citations · 1 across the 3 of their papers we have counts for
3 papers
ConvNeXt Based Neural Network for Audio Anti-Spoofing
Qiaowei Ma, Jinghui Zhong, Yitao Yang +3
With the rapid development of speech conversion and speech synthesis algorithms, automatic speaker verification (ASV) systems are vulnerable to spoofing attacks. In recent years, r…
Self-Normalized Importance Sampling for Neural Language Modeling
Zijian Yang, Yingbo Gao, Alexander Gerstenberger +3
To mitigate the problem of having to traverse over the full vocabulary in the softmax normalization of a neural language model, sampling-based training criteria are proposed and in…
On Sampling-Based Training Criteria for Neural Language Modeling
Yingbo Gao, David Thulke, Alexander Gerstenberger +3
As the vocabulary size of modern word-based language models becomes ever larger, many sampling-based training criteria are proposed and investigated. The essence of these sampling…