1 citations · 1 across the 5 of their papers we have counts for
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Efficient One-to-Many Translation with Joint Multi-Stream Diffusion
Yiwen Guan, Jacob Whitehill
One-to-many machine translation (MT) is computationally expensive for autoregressive (AR) systems, which suffer from linear latency scaling with both sequence length and the number…
Interactive In-Meeting Speaker Correction with Human Feedback
Xinlu He, Yiwen Guan, Badrivishal Paurana +3
Most automatic speech processing systems operate in ``open loop'' mode without user feedback about who said what, yet human-in-the-loop workflows can potentially enable higher accu…
Transformer-Encoder Trees for Efficient Multilingual Machine Translation and Speech Translation
Yiwen Guan, Jacob Whitehill
Multilingual translation suffers from computational redundancy, especially when translating into multiple languages simultaneously. In addition, translation quality can suffer for…
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing
Viet Anh Trinh, Rosy Southwell, Yiwen Guan +3
Recent work on discrete speech tokenization has paved the way for models that can seamlessly perform multiple tasks across modalities, e.g., speech recognition, text to speech, spe…