3 citations · 6 across the 4 of their papers we have counts for
5 papers
DashengTokenizer: One layer is enough for unified audio understanding and generation
Heinrich Dinkel, Xingwei Sun, Gang Li +8
This paper introduces DashengTokenizer, a continuous audio tokenizer engineered for joint use in both understanding and generation tasks. Unlike conventional approaches, which trai…
Learning Language-Specific Layers for Multilingual Machine Translation
Telmo Pessoa Pires, Robin M. Schmidt, Yi-Hsiu Liao +1
Multilingual Machine Translation promises to improve translation quality between non-English languages. This is advantageous for several reasons, namely lower latency (no need to t…
Efficient Inference For Neural Machine Translation
Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao +1
Large Transformer models have achieved state-of-the-art results in neural machine translation and have become standard in the field. In this work, we look for the optimal combinati…
Towards Structured Deep Neural Network for Automatic Speech Recognition
Yi-Hsiu Liao, Hung-yi Lee, Lin-shan Lee
In this paper we propose the Structured Deep Neural Network (structured DNN) as a structured and deep learning framework. This approach can learn to find the best structured object…
Towards Structured Deep Neural Network for Automatic Speech Recognition
Yi-Hsiu Liao, Hung-Yi Lee, Lin-shan Lee
In this paper we propose the Structured Deep Neural Network (Structured DNN) as a structured and deep learning algorithm, learning to find the best structured object (such as a lab…