Positional language modeling for extractive broadcast news speech ...
This paper aims to provide an overview of growing interest in this unified framework, and also out- lines future research possibilities in this multi- ...
Time-Contrastive Learning Based Deep Bottleneck Features for Text ...We have proposed in this paper a new evaluation method for. TD systems. We consider that these systems have a huge potential in speech technology applications ( ... Time-frequency Domain Filter-and-sum Network for Multi-channel ...Speech analysis offers significant potential for the early, cross-linguistic detection of Mild Cognitive Impairment. (MCI), but the crucial features for ... An Effective Contextual Language Modeling Framework for Speech ...We introduce a novel all neural model for low-latency di- rectional speech extraction. The model uses direction of arrival.
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