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07/10/2023
The NPU-MSXF Speech-to-Speech Translation System for IWSLT 2023 Speech-to-Speech Translation Task
This paper describes the NPU-MSXF system for the IWSLT 2023 speech-to-sp...
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05/28/2023
StyleS2ST: Zero-shot Style Transfer for Direct Speech-to-speech Translation
Direct speech-to-speech translation (S2ST) has gradually become popular ...
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04/13/2023
ALR-GAN: Adaptive Layout Refinement for Text-to-Image Synthesis
We propose a novel Text-to-Image Generation Network, Adaptive Layout Ref...
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10/31/2022
Joint Pre-Training with Speech and Bilingual Text for Direct Speech to Speech Translation
Direct speech-to-speech translation (S2ST) is an attractive research top...
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07/21/2022
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
Electrocardiogram (ECG) is a widely used non-invasive diagnostic tool fo...
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07/03/2022
Leveraging Acoustic Contextual Representation by Audio-textual Cross-modal Learning for Conversational ASR
Leveraging context information is an intuitive idea to improve performan...
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07/02/2022
Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism
Transformer-based models have demonstrated their effectiveness in automa...
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06/29/2022
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen composi...
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02/16/2022
Conversational Speech Recognition By Learning Conversation-level Characteristics
Conversational automatic speech recognition (ASR) is a task to recognize...
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12/31/2020
Incremental Embedding Learning via Zero-Shot Translation
Modern deep learning methods have achieved great success in machine lear...
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11/18/2020
Context-aware RNNLM Rescoring for Conversational Speech Recognition
Conversational speech recognition is regarded as a challenging task due ...
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10/26/2020
