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08/07/2023
End-to-End Evaluation for Low-Latency Simultaneous Speech Translation
The challenge of low-latency speech translation has recently draw signif...
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06/08/2023
KIT's Multilingual Speech Translation System for IWSLT 2023
Many existing speech translation benchmarks focus on native-English spee...
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11/21/2022
Towards continually learning new languages
Multilingual speech recognition with neural networks is often implemente...
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05/24/2022
Adaptive multilingual speech recognition with pretrained models
Multilingual speech recognition with supervised learning has achieved gr...
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05/07/2021
Efficient Weight factorization for Multilingual Speech Recognition
End-to-end multilingual speech recognition involves using a single model...
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03/11/2021
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings
In this work we look into adding a new language to a multilingual NMT sy...
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05/20/2020
Relative Positional Encoding for Speech Recognition and Direct Translation
Transformer models are powerful sequence-to-sequence architectures that ...
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03/22/2020
High Performance Sequence-to-Sequence Model for Streaming Speech Recognition
Recently sequence-to-sequence models have started to achieve state-of-th...
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10/04/2019
Modeling Confidence in Sequence-to-Sequence Models
Recently, significant improvements have been achieved in various natural...
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06/20/2019
Improving Zero-shot Translation with Language-Independent Constraints
An important concern in training multilingual neural machine translation...
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06/04/2019
Self-Attentional Models for Lattice Inputs
Lattices are an efficient and effective method to encode ambiguity of up...
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04/30/2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Recently, end-to-end sequence-to-sequence models for speech recognition ...
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09/10/2018
Towards one-shot learning for rare-word translation with external experts
Neural machine translation (NMT) has significantly improved the quality ...
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08/01/2018
