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Found 4 papers, 3 papers with code
NUV-DoA: NUV Prior-based Bayesian Sparse Reconstruction with Spatial Filtering for Super-Resolution DoA Estimation
Achieving high-resolution Direction of Arrival (DoA) recovery typically requires high Signal to Noise Ratio (SNR) and a sufficiently large number of snapshots.
Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition
We also find that in joint CTC-Attention ASR model, decoder is more sensitive to linguistic information than acoustic information.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Enhancing Keyphrase Extraction from Academic Articles with their Reference Information
This indicates the usefulness of reference information on keyphrase extraction of academic papers and provides a new idea for the following research on automatic keyphrase extraction.
Knowledge Graph-enhanced Sampling for Conversational Recommender System
Then, two samplers are designed to enhance knowledge by sampling fuzzy samples with high uncertainty for obtaining user preferences and reliable negative samples for updating recommender to achieve efficient acquisition of user preferences and model updating, and thus provide a powerful solution for CRS to deal with E&E problem.
