51 citations · 85 across the 6 of their papers we have counts for
4 papers · 1 filter
Towards Maximum Likelihood Training for Transducer-based Streaming Speech Recognition
Hyeonseung Lee, Ji Won Yoon, Sungsoo Kim +1
Transducer neural networks have emerged as the mainstream approach for streaming automatic speech recognition (ASR), offering state-of-the-art performance in balancing accuracy and…
MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance
Semin Kim, Myeonghun Jeong, Hyeonseung Lee +3
In this paper, we propose MakeSinger, a semi-supervised training method for singing voice synthesis (SVS) via classifier-free diffusion guidance. The challenge in SVS lies in the c…
TutorNet: Towards Flexible Knowledge Distillation for End-to-End Speech Recognition
Ji Won Yoon, Hyeonseung Lee, Hyung Yong Kim +2
In recent years, there has been a great deal of research in developing end-to-end speech recognition models, which enable simplifying the traditional pipeline and achieving promisi…
Gated Recurrent Context: Softmax-free Attention for Online Encoder-Decoder Speech Recognition
Hyeonseung Lee, Woo Hyun Kang, Sung Jun Cheon +2
Recently, attention-based encoder-decoder (AED) models have shown state-of-the-art performance in automatic speech recognition (ASR). As the original AED models with global attenti…