Sequence Modeling with CTC

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How researchers see this paper

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Unsupervised Speech Recognition (2021, background): “See Hannun (2017) and Hannun et al. (2020) Figure 3 for an illustration.”
Evaluation and Design of Robust Neural Network Defenses (2018, background): “We refer readers to [40] for an excellent survey of CTC.”
Improved Knowledge Distillation from Bi-Directional to Uni-Directional LSTM CTC for End-to-End Speech Recognition (2018, background): “Instead, E2E ASR only requires pairs of input feature sequences and output symbol sequences [5, 6], such as phones [7], characters [8], words [9, 10], or their combinations [11, 12].”
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text (2018, background): “person speaking, and the unaligned transcribed sentences, where the exact position of each word in the audio sample is not known. We brieﬂy summarize the key details and notation. We refer readers to [17] for an excellent survey of CTC. Let Xbe the input domain — a single frame of input — and Ybe th”
An open-source end-to-end ASR system for Brazilian Portuguese using DNNs built from newly assembled corpora (2020, methodology): “Usually, as considered in this work, a recurrent neural network (RNN) is employed to estimate ?C (0C |-) [21].”
Speech Recognition via Large-Scale Weak Supervision (unknown): “(Our description of CTC in the chapter draws on Hannun (2017), which we encourage the interested reader to follow).”