Search Results for author:
Found 6 papers, 1 papers with code
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents
This approach aims to generate relation representations that are more aware of the spatial context and unseen relation in a manner similar to human perception.
PolyVoice: Language Models for Speech to Speech Translation
For the speech synthesis part, we adopt the existing VALL-E X approach and build a unit-based audio language model.
Are Data-driven Explanations Robust against Out-of-distribution Data?
How to develop robust explanations against out-of-distribution data?
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance
In this paper, we propose to use intermediate bottleneck features (IBFs) to replace PPGs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Deep Learning for Spatiotemporal Modeling of Urbanization
Here we explore the capacity of deep spatial learning for the predictive modeling of urbanization.
Application-level Studies of Cellular Neural Network-based Hardware Accelerators
While it is well-known that CeNNs can be well-suited for spatio-temporal information processing, few (if any) studies have quantified the energy/delay/accuracy of a CeNN-friendly algorithm and compared the CeNN-based approach to the best von Neumann algorithm at the application level.
