Large self-supervised pre-trained speech models require computationally
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In this paper, we propose ACA-Net, a lightweight, global context-aware
s...
Most of the existing neural-based models for keyword spotting (KWS) in s...
Learning on a massive amount of speech corpus leads to the recent succes...
Deep complex U-Net structure and convolutional recurrent network (CRN)
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Cross-lingual voice conversion (VC) is an important and challenging prob...
Recent state-of-the-art neural text-to-speech (TTS) synthesis models hav...
Chest X-ray examination plays an important role in lung disease detectio...
This article describes the systems jointly submitted by Institute for
In...