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09/13/2023
Simultaneous Machine Translation with Large Language Models
Large language models (LLM) have demonstrated their abilities to solve v...
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05/28/2023
Investigating Pre-trained Audio Encoders in the Low-Resource Condition
Pre-trained speech encoders have been central to pushing state-of-the-ar...
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04/23/2023
NAIST-SIC-Aligned: Automatically-Aligned English-Japanese Simultaneous Interpretation Corpus
It remains a question that how simultaneous interpretation (SI) data aff...
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04/18/2023
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
Over the past few decades, multimodal emotion recognition has made remar...
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10/27/2022
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities
Multimodal emotion recognition leverages complementary information acros...
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10/24/2022
Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing
Pre-trained speech Transformers have facilitated great success across va...
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10/17/2022
Towards Relation Extraction From Speech
Relation extraction typically aims to extract semantic relationships bet...
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10/16/2022
RedApt: An Adaptor for wav2vec 2 Encoding Faster and Smaller Speech Translation without Quality Compromise
Pre-trained speech Transformers in speech translation (ST) have facilita...
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10/15/2022
Generating Synthetic Speech from SpokenVocab for Speech Translation
Training end-to-end speech translation (ST) systems requires sufficientl...
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07/03/2022
M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation
End-to-end speech-to-text translation models are often initialized with ...
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10/27/2021
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition
Multimodal emotion recognition study is hindered by the lack of labelled...
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10/11/2021
It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
Most existing simultaneous machine translation (SiMT) systems are traine...
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07/14/2021
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) is a crucial component in affe...
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07/27/2020
MUSE2020 challenge report
This paper is a brief report for MUSE2020 challenge. We present our solu...
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07/17/2020
