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Found 8 papers, 0 papers with code
CS-BERT: a pretrained model for customer service dialogues
Large-scale pretrained transformer models have demonstrated state-of-the-art (SOTA) performance in a variety of NLP tasks.
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition
Deploying end-to-end speech recognition models with limited computing resources remains challenging, despite their impressive performance.
DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation
Fully supervised action segmentation works on frame-wise action recognition with dense annotations and often suffers from the over-segmentation issue.
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling
In this paper we propose a framework that incorporates augmented versions of a dialogue context into the learning objective.
The RoyalFlush System of Speech Recognition for M2MeT Challenge
Firstly, we investigated a set of front-end methods, including multi-channel weighted predicted error (WPE), beamforming, speech separation, speech enhancement and so on, to process training, validation and test sets.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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SIRI: Spatial Relation Induced Network For Spatial Description Resolution
Spatial Description Resolution, as a language-guided localization task, is proposed for target location in a panoramic street view, given corresponding language descriptions.
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning
Instead of reconstructing individual blocks, the whole image is reconstructed from the linear convolutional measurements.
Denoising Prior Driven Deep Neural Network for Image Restoration
Then, the iterative process is unfolded into a deep neural network, which is composed of multiple denoisers modules interleaved with back-projection (BP) modules that ensure the observation consistencies.
