CTC

• Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks
• Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data
• Recurrent neural networks (RNNs) are powerful sequence learners that would seem well suited to such task
• hey require pre-segmented training data, and post-processing to transform their outputs into label sequences, their applicability has so far been limited
• temporal classification
• label unsegmented sequences directly
• probabilistic principles
• TIMIT speech corpus