no code implementations • 20 Sep 2023 • Avihu Dekel, Slava Shechtman, Raul Fernandez, David Haws, Zvi Kons, Ron Hoory
Experimental results show that LLM2Speech maintains the teacher's quality while reducing the latency to enable natural conversations.
no code implementations • 3 Aug 2022 • Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury
Beam search, which is the dominant ASR decoding algorithm for end-to-end models, generates tree-structured hypotheses.
no code implementations • 25 Jul 2022 • Raul Fernandez, David Haws, Guy Lorberbom, Slava Shechtman, Alexander Sorin
In this work we explore one-to-many style transfer from a dedicated single-speaker conversational corpus with style nuances and interjections.
no code implementations • 24 Aug 2021 • Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltan Tuske
By reducing the exposure bias, we show that we can further improve the accuracy of a high-performance RNNT ASR model and obtain state-of-the-art results on the 300-hour Switchboard dataset.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 7 Oct 2013 • Dan He, Irina Rish, David Haws, Simon Teyssedre, Zivan Karaman, Laxmi Parida
Whole genome prediction of complex phenotypic traits using high-density genotyping arrays has attracted a great deal of attention, as it is relevant to the fields of plant and animal breeding and genetic epidemiology.