baidu-research/warp-ctc

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In Chinese 中文版 warp-ctc A fast parallel implementation of CTC, on both CPU and GPU. Introduction Connectionist Temporal Classification is a loss function useful for performing supervised learning on sequence data, without needing an alignment between input data and labels. For example, CTC can be used to train end-to-end systems for speech recognition, which is how we have been using it at Baidu's Silicon Valley AI Lab. The illustration above shows CTC computing the probability of an output sequence...