no code implementations • 1 Mar 2023 • Philipp Klumpp, Pooja Chitkara, Leda Sari, Prashant Serai, JiLong Wu, Irina-Elena Veliche, Rongqing Huang, Qing He
In this work, we improve an accent-conversion model (ACM) which transforms native US-English speech into accented pronunciation.
no code implementations • 31 Oct 2022 • Suyoun Kim, Ke Li, Lucas Kabela, Rongqing Huang, Jiedan Zhu, Ozlem Kalinli, Duc Le
In this work, we present our Joint Audio/Text training method for Transformer Rescorer, to leverage unpaired text-only data which is relatively cheaper than paired audio-text data.
no code implementations • 21 Oct 2022 • Marco Gaido, Yun Tang, Ilia Kulikov, Rongqing Huang, Hongyu Gong, Hirofumi Inaguma
In a sentence, certain words are critical for its semantic.
no code implementations • 6 Oct 2021 • Rongqing Huang
To be able to leverage data from existing domains is important for ASR accuracy in the new domain.
no code implementations • 10 Jul 2020 • Rongqing Huang, Ossama Abdel-hamid, Xinwei Li, Gunnar Evermann
In ASR, many utterances contain rich named entities.
no code implementations • 25 Dec 2017 • Shiliang Sun, Rongqing Huang, Ya Gao
In this paper, we apply GPR to traffic flow forecasting and show its potential.
no code implementations • 25 Dec 2017 • Rongqing Huang, Shiliang Sun
Generally, the function value for a test input is estimated by a weighted average of the surrounding training examples.