1 citations · 2 across the 3 of their papers we have counts for
11 papers
Adaptive multilingual speech recognition with pretrained models
Ngoc-Quan Pham, Alex Waibel, Jan Niehues
Multilingual speech recognition with supervised learning has achieved great results as reflected in recent research. With the development of pretraining methods on audio and text d…
Efficient Weight factorization for Multilingual Speech Recognition
Ngoc-Quan Pham, Tuan-Nam Nguyen, Sebastian Stueker +1
End-to-end multilingual speech recognition involves using a single model training on a compositional speech corpus including many languages, resulting in a single neural network to…
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings
Carlos Mullov, Ngoc-Quan Pham, Alexander Waibel
In this work we look into adding a new language to a multilingual NMT system in an unsupervised fashion. Under the utilization of pre-trained cross-lingual word embeddings we seek…
Relative Positional Encoding for Speech Recognition and Direct Translation
Ngoc-Quan Pham, Thanh-Le Ha, Tuan-Nam Nguyen +5
Transformer models are powerful sequence-to-sequence architectures that are capable of directly mapping speech inputs to transcriptions or translations. However, the mechanism for…
High Performance Sequence-to-Sequence Model for Streaming Speech Recognition
Thai-Son Nguyen, Ngoc-Quan Pham, Sebastian Stueker +1
Recently sequence-to-sequence models have started to achieve state-of-the-art performance on standard speech recognition tasks when processing audio data in batch mode, i.e., the c…
Modeling Confidence in Sequence-to-Sequence Models
Jan Niehues, Ngoc-Quan Pham
Recently, significant improvements have been achieved in various natural language processing tasks using neural sequence-to-sequence models. While aiming for the best generation qu…