title: Peak-First CTC: Reducing the Peak Latency of CTC Models by Applying Peak-First Regularization
abstract: 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 probability distribution predicted by the CTC models, and each peak represents a non-blank token. The recognition latency of CTC models can be reduced by encouraging the model to predict peaks earlier. Existing methods to reduce latency require modifying the transition relationship between tokens in the forward-backward 
journal: arXiv (Cornell University)