3 accepted papers
End-to-end neural diarization (EEND) methods use just a single neural network. EEND-TA, a recently proposed EEND technique, performs diarization for a flexible number of speakers in a non-autoregressive manner. In this paper, we explore combining EEND-TA with Variance-Covariance Regularization (VCRe…
Autoregressive (AR) automatic speech recognition (ASR) models predict each output token conditioning on the previous ones, which slows down their inference speed. On the other hand, non-autoregressive (NAR) models predict tokens independently and simultaneously within a constant number of decoding i…
Lip-reading is the task of recognizing speech solely from the visual movement of the mouth. Although recent works have demonstrated the effectiveness of convolutional neural network (CNN) and long short-term memory (LSTM) recurrent neural network in lip-reading, similar architectures under low-resou…