April 20, 2022, 1:11 a.m. | Keqi Deng, Shinji Watanabe, Jiatong Shi, Siddhant Arora

cs.CL updates on arXiv.org arxiv.org

Although Transformers have gained success in several speech processing tasks
like spoken language understanding (SLU) and speech translation (ST), achieving
online processing while keeping competitive performance is still essential for
real-world interaction. In this paper, we take the first step on streaming SLU
and simultaneous ST using a blockwise streaming Transformer, which is based on
contextual block processing and blockwise synchronous beam search. Furthermore,
we design an automatic speech recognition (ASR)-based intermediate loss
regularization for the streaming SLU task to …

arxiv language speech spoken language understanding streaming transformer translation understanding

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US