The paper establishes the strong convergence rates of a spatio-temporal ...
In multi-talker scenarios such as meetings and conversations, speech
pro...
Speaker change detection is an important task in multi-party interaction...
The first aim of this paper is to examine existence, uniqueness and
regu...
In this paper, we propose and analyze an explicit time-stepping scheme f...
Nowadays, most methods in end-to-end contextual speech recognition bias ...
The aim of this study is the weak convergence rate of a temporal and spa...
In the recent trend of semi-supervised speech recognition, both
self-sup...
Recurrent neural transducer (RNN-T) is a promising end-to-end (E2E) mode...
In this work we propose an inference technique, asynchronous revision, t...
We discretize the stochastic Allen-Cahn equation with additive noise by ...
Fiber nonlinear interference (NLI) modeling and monitoring are the key
b...