10 citations · 12 across the 4 of their papers we have counts for
4 papers
Peak-First CTC: Reducing the Peak Latency of CTC Models by Applying Peak-First Regularization
Zhengkun Tian, Hongyu Xiang, Min Li +3
The CTC model has been widely applied to many application scenarios because of its simple structure, excellent performance, and fast inference speed. There are many peaks in the pr…
CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR
Keyu An, Huahuan Zheng, Zhijian Ou +3
History and future contextual information are known to be important for accurate acoustic modeling. However, acquiring future context brings latency for streaming ASR. In this pape…
CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency
Keyu An, Hongyu Xiang, Zhijian Ou
In this paper, we present a new open source toolkit for speech recognition, named CAT (CTC-CRF based ASR Toolkit). CAT inherits the data-efficiency of the hybrid approach and the s…
CAT: CRF-based ASR Toolkit
Keyu An, Hongyu Xiang, Zhijian Ou
In this paper, we present a new open source toolkit for automatic speech recognition (ASR), named CAT (CRF-based ASR Toolkit). A key feature of CAT is discriminative training in th…