no code implementations • 30 Aug 2023 • Sen Fang, Chunyu Sui, Xuedong Zhang, Yapeng Tian
The field of Sign Language Production (SLP) lacked a large-scale, pre-trained model based on deep learning for continuous American Sign Language (ASL) production in the past decade.
no code implementations • 20 Jan 2023 • Szu-Jui Chen, Debjyoti Paul, Yutong Pang, Peng Su, Xuedong Zhang
With the emergence of automatic speech recognition (ASR) models, converting the spoken form text (from ASR) to the written form is in urgent need.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 9 Nov 2022 • Yingyi Ma, Zhe Liu, Xuedong Zhang
Thus, the data sampling strategy is important to the adaptation performance.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 13 Oct 2022 • Zhe Liu, Xuedong Zhang, Fuchun Peng
Recent research has shown that language models have a tendency to memorize rare or unique sequences in the training corpora which can thus leak sensitive attributes of user data.
no code implementations • 20 Jul 2022 • Laxmi Pandey, Debjyoti Paul, Pooja Chitkara, Yutong Pang, Xuedong Zhang, Kjell Schubert, Mark Chou, Shu Liu, Yatharth Saraf
Inverse text normalization (ITN) is used to convert the spoken form output of an automatic speech recognition (ASR) system to a written form.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 20 Nov 2017 • Chung-Cheng Chiu, Anshuman Tripathi, Katherine Chou, Chris Co, Navdeep Jaitly, Diana Jaunzeikare, Anjuli Kannan, Patrick Nguyen, Hasim Sak, Ananth Sankar, Justin Tansuwan, Nathan Wan, Yonghui Wu, Xuedong Zhang
We explored both CTC and LAS systems for building speech recognition models.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1